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• 15 open positions for Early Stage Researchers within The Marie Sklodowska-Curie European Training Network-EvoGamesPlus (Evolutionary games and population dynamics: from theory to applications).

  • Start
    15 Dec 2020
  •  
    (UTC+01:00)
  • End
    31 Mar 2021
  •  
    (UTC+02:00)

  15 open positions for Early Stage Researchers within The Marie Sklodowska-Curie European Training Network-EvoGamesPlus (Evolutionary games and population dynamics: from theory to applications).

  
  

  The Marie Skłodowska-Curie European Training Network – EvoGamesPlus (Evolutionary games and population dynamics: from theory to applications) invites applications for 15 early-stage researcher (ESR) / PhD positions, available with a starting date in the period July 2021 - September 2021. The appointments will be on a full-time, fixed term employment contract basis for a duration of 36 months.  

  List of available ESR positions (+ host institutions & supervisors):

  ESR 1: The evolution of cooperation in structured populations involving multiplayer interactions (City, University of London, Department of Mathematics, United Kingdom). Supervisors: Prof. Mark Broom (Mark.Broom.1@city.ac.uk) and Dr. Andrea Baronchelli

  ESR2: Eco-evolutionary dynamics of complex multiplayer and multiple games (Max Planck Institute for Evolutionary Biology, Department of Evolutionary Theory, Germany). Supervisors: Dr. Chatainya S. Gokhale (gokhale@evolbio.mpg.de) and Prof. Arne Traulsen

  ESR3: The evolution of cooperation in structured populations involving multi-level selection (Centre for Ecological Research, Institute of Evolution, Hungary). Supervisors: Dr. Ádám Kun (kunadam@elte.hu) and Dr. József Garay

  ESR4: Criticality and self-organization of evolutionary game (Delft University of Technology, Delft Institute of Applied Mathematics, The Netherlands). Supervisors: Dr. Johan Dubbeldam (J.L.A.Dubbeldam@tudelft.nl) and Dr. Wim van Horssen

  ESR5: Critical Transitions in Evolutionary Games (University College Cork, School of Mathematical Sciences, Ireland). Supervisors: Prof. Sebastian Wieczorek (sebastian.wieczorek@ucc.ie) and Dr. Kieran Mulchrone

  ESR6: The evolution of cooperation in populations involving multi-player games and time delays (University of Warsaw, Institute of Applied Mathematics and Mechanics, Poland). Supervisors: Prof. Jacek Miękisz (miekisz@mimuw.edu.pl) and Prof. Marek Bodnar

  ESR7: Information theoretic aspects of modularity, self-similarity, and stability in multiplayer games on adaptive networks (Medical University of Vienna, Section for Science of Complex Systems, Austria). Supervisors: Dr. Rudolf Hanel (rudolf.hanel@meduniwien.ac.at) and Dr. Peter Klimek

  ESR8: Theory of Stackelberg evolutionary games for cancer treatment. (Maastricht University, Department of Data Science & Knowledge Engineering, Dynamic Game Theory, The Netherlands). Supervisors: Dr. Kateřina Staňková (k.stankova@maastrichtuniversity.nl)  and Dr. Rachel Cavill

  ESR9: Impact of different resistance mechanisms on the outcomes of cancer treatment game (Queen Mary University of London, School of Mathematical Sciences, United Kingdom). Supervisors: Dr. Weini Huang (weini.huang@qmul.ac.uk) and Dr. Dudley Stark

  ESR10: Evolutionary therapy in ovarian cancer (Queen Mary University of London, Barts Cancer Institute, United Kingdom). Supervisors: Dr. Benjamin Werner (b.werner@qmul.ac.uk) and Prof. Trevor Graham

  ESR11: Data-driven support to understanding of complex dynamical physical phenomena, such as epidemics (University of Torino, Department of Computer Science, Italy). Supervisors: Prof. Maria Luisa Sapino (mlsapino@di.unito.it) and Prof. Matteo Sereno

  ESR12: Models of evolution in network-structured populations (University of Liverpool, Department of Mathematical Sciences, United Kingdom). Supervisors: Dr. Kieran Sharkey (K.J.Sharkey@liverpool.ac.uk) and Dr. Kate Baker

  ESR13: Waning of immunity due to pathogen evolution (University of Szeged, Bolyai Institute, Hungary). Supervisors: Dr. Gergely Röst (rost@math.u-szeged.hu) and Dr. Tibor Krisztin

  ESR14: Models of eco-evolutionary dynamics of population interaction networks (University of South Bohemia, Department of Mathematics, Czech Republic). Supervisors: Prof. Vlastimil Krivan (vlastimil.krivan@gmail.com) and Dr. Luděk Berec

  ESR15: Node embedding for epidemic spreading processes on temporal networks (ISI Foundation, Department of Digital Epidemiology, Italy). Supervisors: Dr. Daniela Paolotti (daniela.paolotti@isi.it), Dr. Michele Tizzoni and Prof. Ciro Cattuto

  For more details and how to apply visit the EvoGamesPlus webpage

   

  
  

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• Teaching and research positions in Theoretical Biology and Bioinformatics at Utrecht University

  • Start
    8 Jan 2021
  •  
    (UTC+01:00)
  • End
    28 Feb 2021
  •  
    (UTC+01:00)
  • Location
    Utrecht University

  Two positions are available in Theoretical Biology and Bioinformatics at Utrecht University. 

  - A two-year teaching position (at the postdoc or assistant professor level) to help us develop the teaching of Computational Biology in a new interdisciplinary bachelor program. The teaching position needs to be filled as soon as possible.

  - A tenure-track research position (assistant or associate professor) allowing the candidate to develop their own research line in biological modeling, and to teach Theoretical Biology to bachelor, master and PhD students. The research position will soon be advertised officially. 

  For information please see the website tbb.bio.uu.nl/positions.html
  
  

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• Postdoc position at CorStim SAS in Montpellier (France)

  • Start
    13 Jan 2021
  •  
    (UTC+01:00)
  • End
    28 Feb 2021
  •  
    (UTC+01:00)

  EEG recording and analysis in post-stroke patients with chronic aphasia and development of a clinical treatment based on noninvasive electrical stimulation (tACS) of the human cortex.

  Location:

  CorStim SAS is a recent startup looking to fill as soon as possible a fully funded postdoctoral position in Montpellier, France. The qualified candidate will benefit from joining a dynamic and multidisciplinary team working at the interface of electrophysiology, computational and cognitive neuroscience, and mathematics.

  Opportunity:

  CorStim conceives, develops and applies a new medical strategy aimed to restore neurological functions. To this end, our approach integrates closed-loop neurotechnologies with innovative treatments developed through mathematical modeling, engineering and preclinical studies. By working with a network of partners, CorStim is committed to validate this new therapeutic strategy for the treatment of poststroke aphasia. The overarching goal of CorStim is to see our treatment used every day in rehabilitation clinics worldwide as well as in the patients’ home.

  Description:

  The successful candidate will implement and apply stimulation algorithms to enhance tACS-based therapies from EEG neuromarkers. Specifically, (s)he will:

  • Become familiar with the Starstim 32  system from Neuroelectrics (EEG and tACS)
  • Collaborate with other team members to integrate different pieces of the project 
  • Promote and organize regular team meetings
  • Assist and oversee the development and implementation of immersion and feedback
  • Work closely with clinicians to validate the approach in preclinical trials

  Prerequisites:

  • Doctoral degree (PhD) from an international research university in such fields as neuroscience, engineering, or physics
  • Proficiency in E-Prime or equivalent , statistical analyses, Matlab
  • Prior experience with human electrophysiology and analysis of large data sets
  • Good written and verbal skills in English and/or French
  • Demonstrated ability to write results for publication in the scientific literature

  Flexibility, ability to learn quickly, to work independently as well as to be part of a scientific team, comfortable working in a clinical environment is necessary. 

   Contact:

  Applications including a CV and a cover letter describing your background and interest should be sent to anne.beuter@corstim.fr. Informal inquiries are welcome. Letters of recommendation will be requested.

  Compensation will be aligned to the French salary pay scale, (globally between 35 to 40 kEuros depending on experience). The initial  appointment  will  be  for one  year,  with  further  funding  possible  upon  satisfactory performance.We believe that equity and diversity make for better science. We especially encourage candidates from diverse backgrounds to apply.

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