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Today's Topics:
1. CFP: Ongoing Thematic Series of Springer Complex Adaptive
Systems Modeling on Interdependent Networks: Structure, Dynamics
and Evolution (Muaz Niazi)
2. Four Postdoc Positions in Computer Science and Population
Genetics (Per Kristian Lehre)
3. Postdoctoral Position in Combinatorics (Christa Lachmuth)
4. TPNC 2013: call for participation
(URV - RESEARCH GROUP ON MATHEMATICAL LINGUISTICS)
5. Faculty Position in Big Data Analytics/Bioinformatics
(Fernandez-Baca, David [COM S])
----------------------------------------------------------------------
Message: 1
Date: Tue, 5 Nov 2013 15:48:26 +0500
From: "Muaz Niazi" <thhgttg@gmail.com>
To: <dmanet@zpr.uni-koeln.de>
Subject: [DMANET] CFP: Ongoing Thematic Series of Springer Complex
Adaptive Systems Modeling on Interdependent Networks: Structure,
Dynamics and Evolution
Message-ID: <019e01ceda14$9215daf0$b64190d0$@gmail.com>
Content-Type: text/plain; charset="us-ascii"
<--Apologies if you receive multiple posts-->
Introduction to the Series
Not only are our interactions limited and thus best described not by
well-mixed models but rather by models entailing networks, it is also a fact
that these networks are often interconnected and indeed very much
interdependent. From the World economy to Google Circles, it is clear that
processes taking place in one network might affect what is happening in many
other networks. Within an interdependent system, each type of interaction
has certain relevance or meaning, so that treating all the links identically
inevitably leads to information loss. Interdependent or multiplex networks
are therefore a much better description of such systems, and this Special
Issue is devoted to their structure, dynamics and evolution, as well as to
the study of emergent properties in multi-layered systems in general. Topics
of interest include but are not limited to the spread of epidemics and
information, synchronization, diffusion, random walks, collective behavior
and evolutionary games on interdependent networks.
Submissions will be reviewed on a rolling basis.
First reviews typically expected within 6 weeks of submission.
Springer Complex Adaptive Systems Modeling
http://www.casmodeling.com/
CFP
http://www.casmodeling.com/sites/10349/pdf/A01900_DF_SO_CFP_CASModelling_web
.pdf
Facebook
http://www.facebook.com/complexadaptivesystems/info
LinkedIn
http://www.linkedin.com/groups?home=&gid=4183303&trk=anet_ug_hm
Lead guest editor:
Matjaz Perc, University of Maribor | matjaz.perc@gmail.com
Guest editor:
Muaz A. Niazi, Bahria University | muaz.niazi@gmail.com
Kind regards,
Muaz Niazi
Email: muaz.niazi@ieee.org, niazi@alum.bu.edu
Alternate: muaz.niazi@gmail.com
------------------------------
Message: 2
Date: Tue, 05 Nov 2013 13:32:14 +0000
From: Per Kristian Lehre <PerKristian.Lehre@nottingham.ac.uk>
To: dmanet@zpr.uni-koeln.de
Subject: [DMANET] Four Postdoc Positions in Computer Science and
Population Genetics
Message-ID: <87eh6vx9cx.fsf@eta.cs.nott.ac.uk>
Content-Type: text/plain; charset=windows-1252
FOUR POSTDOC POSITIONS IN COMPUTER SCIENCE AND POPULATION GENETICS
Speed of Adaptation in Population Genetics and Evolutionary Computation
(SAGE) http://www.project-sage.eu
Four outstanding postdoctoral candidates are required to support the 2M
euro EU-funded project ?Speed of Adaptation in Population Genetics and
Evolutionary Computation? (SAGE). This project brings together four
European research institutions - University of Nottingham, University of
Sheffield, Friedrich Schiller University Jena, and IST Austria - to
develop world-leading research at the interface between Population
Genetics and Computer Science. Specifically, SAGE aims at bringing
together these two research fields to develop a new quantitative theory
of the efficiency of evolutionary processes in natural and artificial
evolution.
Applications are invited from highly skilled researchers in Computer
Science, Mathematics, Physics, Theoretical Biology or related areas (at
the interface between computer science and biology). A good
understanding of evolutionary computation and/or population genetics
will be an advantage. In addition, strong mathematical and analytical
skills are essential. The applicants must have (or be very close to
completing) a PhD in Computer Science, Biology, Mathematics, Physics or
related disciplines. The successful candidates will be working on the
development of a generalised theory of evolution covering both
artificial evolution, such as in evolutionary algorithms, as well as
natural evolution, and integrating methods and tools from both fields,
including runtime analysis and the diffusion approximation, amongst
others. They should be able to work independently as well as in
multidisciplinary teams. Good communication and presentation skills are
crucial. The candidates are expected to disseminate research results in
peer-reviewed journals and conferences.
These posts offer a competitive salary and are available from January
2014, for a period of up to 36 months. Applications should include a CV,
names of references and a letter of motivation.
Applications should be submitted to individual sites as follows:
- University of Nottingham, UK:
Applicants should apply online through
http://www.cs.nott.ac.uk/~pkl/sage-ad.html
Informal enquiries to Per Kristian Lehre,
perkristian.lehre@nottingham.ac.uk
- Friedrich Schiller University Jena, Germany:
http://www.theinf.uni-jena.de/en/SAGE.html
Applications and informal enquiries should be emailed
to Tobias Friedrich, friedrich@uni-jena.de
- University of Sheffield, UK:
Applicants should apply online through
http://www.dcs.shef.ac.uk/~dirk/sage-ad.html
Informal enquiries to Dirk Sudholt, d.sudholt@sheffield.ac.uk
- Institute of Science and Technology Austria:
http://ist.ac.at/research-groups-pages/barton-group/positions/
Applications and informal enquiries should be emailed
to Tiago Paixao, tiago.paixao@ist.ac.at.
For more information, please see http://www.project-sage.eu
This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please send it back to me, and immediately delete it. Please do not use, copy or disclose the information contained in this message or in any attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham.
This message has been checked for viruses but the contents of an attachment
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------------------------------
Message: 3
Date: Tue, 5 Nov 2013 16:08:45 +0100
From: Christa Lachmuth <christa.lachmuth@math.ethz.ch>
To: "dmanet@zpr.uni-koeln.de" <dmanet@zpr.uni-koeln.de>
Subject: [DMANET] Postdoctoral Position in Combinatorics
Message-ID: <3E1E51E4-BEDC-484C-9881-ACB637D0877F@math.ethz.ch>
Content-Type: text/plain; charset="iso-8859-1"
Postdoctoral Position in Combinatorics
The Department of Mathematics at ETH Zurich invites applications for a postdoctoral position in Combinatorics. This position is awarded for two years with start date September 1-October 1, 2014 and has potential to be extended for the third year. Applicants must have completed their doctoral studies by the start date of the appointment. Applications should demonstrate dedication to and strong promise in research. This position offers a very competitive salary and the light teaching load. Courses may be taught in English.
ETH has a large and very active research group in Combinatorics (one faculty member in Math and three faculty in CS and many more research students and postdocs), with a weekly research seminar.
Applications should be received by December 1, 2013. Late applications will be considered as long as the position remains open.
Candidates should send a copy of their CV, list of publications, and research statement, and arrange for three letters of recommendation. Applications can be made only electronically by using following application form: https://www.math.ethz.ch/t3/index.php?application&key2=10&no_cache=1
In case of questions please contact Christa Lachmuth: http://www.math.ethz.ch/people/lchrista
ETH Z?rich
Christa Lachmuth
Mathematik Departement
HG G 33.4
R?mistrasse 101
8092 Z?rich
------------------------------
Message: 4
Date: Tue, 05 Nov 2013 16:35:45 +0100
From: URV - RESEARCH GROUP ON MATHEMATICAL LINGUISTICS
<grlmc@urv.cat>
To: dmanet@zpr.uni-koeln.de
Subject: [DMANET] TPNC 2013: call for participation
Message-ID: <fbe6b575243f7.52791e61@urv.cat>
Content-Type: text/plain; charset=utf-8
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2nd INTERNATIONAL CONFERENCE ON THE THEORY AND PRACTICE OF NATURAL COMPUTING
TPNC 2013
C?ceres, Spain
December 3-5, 2013
http://grammars.grlmc.com/tpnc2013/
----------------------------------------------------------------------------------------------------------
PROGRAMME
Tuesday, December 3
09:00 - 09:50 Registration
09:50 - 10:00 Opening
10:00 - 10:50
Eugen Czeizler, Pekka Orponen: Yield optimization strategies for (DNA) staged Tile Assembly Systems
Vinay Kumar Gautam, Pauline C. Haddow, Martin Kuiper: Reliable Self-assembly by Self-triggered Activation of Enveloped DNA Tiles
10:50 - 11:20 Coffee Break
11:20 - 13:00
Miros?aw Kordos, Andrzej Rusiecki: Improving MLP Neural Network Performance by Noise Reduction
Omar K. Shoukry, Magda B. Fayek: Evolutionary Scheduling for Mobile Content Pre-fetching
Marius Nagy, Naya Nagy: General Quantum Encryption Scheme based on Quantum Memory
Marius Nagy, Naya Nagy: Quantum Secret Communication without an Encryption Key
13:00 - 14:45 Lunch
14:45 - 15:35
Oliver Rice, Robert Smith, Rickard Nyman: GPU Multi-Objective Genetic Algorithm: Asynchronously Parallel Distributed NSGA-II
Anne Jeannin-Girardon, Pascal Ballet, Vincent Rodin: An Efficient Biomechanical Cell Model to Simulate Large Multi-cellular Tissue Morphogenesis: Application to Cell Sorting Simulation on GPU
15:35 - 15:50 Break
15:50 - 16:40 Risto Miikkulainen: Evolving Neural Networks: Approaches ? Invited Tutorial I
Wednesday, December 4
09:00 - 10:40
Rim Hentech, Ilyes Jenhani, Zied Elouedi: Learning from Uncertain Data Using Possibilistic Artificial Immune Recognition Systems
Massimiliano D?Angelo, Berend Weel, Agoston E. Eiben: Online Gait Learning for Modular Robots with Arbitrary Shapes and Sizes
Jos? M. Lanza-Guti?rrez, Juan A. G?mez-Pulido, Miguel ?ngel Vega-Rodr?guez: A Trajectory Algorithm to Solve the Relay Node Placement Problem in Wireless Sensor Networks
Rafael Nogueras, Carlos Cotta, Carlos M. Fernandes, Juan Luis Jim?nez Laredo, Juan Juli?n Merelo, Agostinho C. Rosa: An Analysis of a Selecto-Lamarckian Model of Multimemetic Algorithms with Dynamic Self-Organized Topology
10:40 - 11:10 Coffee Break
11:10 - 12:00
Poster session I
Orlando Duran: A Hybrid Solution to the Multi-Echelon Inventory Problem of Repairable Spare Parts Using Discrete Swarm Intelligence and a Local Search Procedure
Jes?s Torrecilla-Pinero, Fernando Torrecilla-Pinero, Juan A. G?mez-Pulido, Carlos Urue?a-Fern?ndez: A Novel Way to Optimize Cantilever Walls by Means of Natural Computing and Multiobjective Optimization
Hector Zenil: Complexity and Algorithmic Probability of Animal Behaviour from Cognition to Communication
Ron Cottam, Willy Ranson, Roger Vounckx: A Framework for Computing like Nature
Cristina Mart?nez-Ram?rez, Alberto Besana: Models for the Distribution of Letters in Random Generated Words
Ra?l Dom?nguez, Tim K?hler, Christian Rauch, Elmar Bergh?fer, Frank Kirchner: Autonomous Robot Long Distance Traversing by a Robust Nature-Inspired Behaviour Control Model Using Sensor Feedback Expectations
12:00 - 12:15 Break
12:15 - 13:05 Risto Miikkulainen: Evolving Neural Networks: Applications ? Invited Tutorial II
13:05 - 14:50 Lunch
14:50 - 15:50
Poster session II
Kazunari Ozasa, Jeesoo Lee, Simon Song, Masahiko Hara, Mizuo Maeda: Introduction of Artificial Pheromone Effects on Euglena Cells Toward Ant Colony Optimization Experiments
Krist?ne C?pola, R?si?? Freivalds: Examples of Advantages for Ultrametric Automata
Mikhail Peretyat?kin: Combinatorial Computation in First-Order Predicate Logic as a Formal Prototype of Natural Computing
Alidra Abdelghani, Mohamed Tahar Kimour: Biology Inspired Decision Making for Self-Healing Realtime Systems
Krist?ne C?pola, K?rlis Cezi??, R?si?? Freivalds, Viesturs V?zis: Producing Learning Tools to Teach Quantum and Ultrametric Automata
Antonio J. Tall?n-Ballesteros, Jos? C. Riquelme, C?sar Herv?s-Mart?nez, Roberto Ruiz: Enhancing the Performance of a Feature Selection Method Based Jointly on Feature Ranking and Feature Subset Selection in the Context of a Neural Network Classifier
?ngela Villota, Jes?s Aranda: Towards a General Approach to Model Biological Systems from Membrane Systems into a Concurrent Constraint Calculus
15:55 Visit to the City
Thursday, December 5
09:00 ? 09:50 Xin Yao: Evolutionary Algorithm Portfolios for Numerical Optimisation - Invited Talk
09:50 - 10:05 Break
10:05 - 11:20
Yara Khaluf, Mauro Birattari, Franz Rammig: Probabilistic Analysis of Long-term Swarm Performance under Spatial Interferences
V?ctor Berrocal-Plaza, Miguel ?ngel Vega-Rodr?guez, Juan M. S?nchez-P?rez: A New Version of the Multiobjective Artificial Bee Colony Algorithm for Optimizing the Location Areas Planning in a Realistic Network
Takuya Nishida, Takaaki Mizuki, Hideaki Sone: Securely Computing the Three-Input Majority Function with Eight Cards
11:20 - 11:50 Coffee Break
11:50 - 13:05
Yahya O. Mohamed Elhadj, Mansour Alghamdi, Mohamed Alkanhal: Approach for Recognizing Allophonic Sounds of the Classical Arabic Based on Quran Recitations
Antonio Mart? Campoy, Francisco Rodr?guez-Ballester, Rafael Ors Carot: Using Dynamic, Full Cache Locking and Genetic Algorithms for Cache Size Minimization in Multitasking, Preemptive, Real-time Systems
Lingling Jin, Ian McQuillan: Computational Modelling of the Interruptional Activities between Transposable Elements
13:05 Closing
------------------------------
Message: 5
Date: Tue, 5 Nov 2013 16:36:29 +0000
From: "Fernandez-Baca, David [COM S]" <fernande@iastate.edu>
To: "DMANET@zpr.uni-koeln.de" <DMANET@zpr.uni-koeln.de>
Subject: [DMANET] Faculty Position in Big Data
Analytics/Bioinformatics
Message-ID:
<21818_1383669403_rA5GagDH026052_63691923-FFF5-4BAF-9028-311AE58F4F9D@iastate.edu>
Content-Type: text/plain; charset="iso-8859-1"
The Department of Computer Science at Iowa State University seeks outstanding applicants for an Assistant Professor at the intersection of big data analytics, bioinformatics, and computational biology.
This position is expected to conduct research and publish in top tier venues in their field; collaborate with other researchers throughout campus who are involved in data driven discovery in biology; secure research funding; and instruct undergraduate and graduate students.
Iowa State University is the nation's most student-centered public research university. One hundred majors, 800 student organizations, learning communities, undergraduate research opportunities, study abroad programs, and faculty committed to the land-grant principle of knowledge with practice has resulted in record enrollment, donations, and sponsored programs. ISU is a member of the prestigious Association of American Universities and is ranked as one of the top 50 public universities in the nation by U.S. News and World Report. The university is located in Ames, a community ranked as one of the top 10 places to live in the U.S. by Money magazine. http://www.iastate.edu/about/
For further details and information on how to apply, please visit https://www.iastatejobs.com/
(NOV #: 131181)
Iowa State University is an EO/AA employer
------------------------------
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