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楼主  发表于: 2010-11-12 21:43
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 Postdoc in Data-Driven Modeling in Neuroscience

Employer:EPFL (Ecole Polytechnique federale de Lausanne)
Website:http://epfl.ch/home-list-en.html
Location:Lausanne, Switzerland
Type:Postdoctoral
Posted:November 11, 2010
Expires:January 10, 2011

The Blue Brain Project, head-quartered in Lausanne, Switzerland, is a multi-national research endeavor to reverse engineer, model, and simulate the brain. The BBP is seeking a
Postdoc in Data-Driven Modeling in Neuroscience (100%)
The primary objective for this position is to strengthen the ongoing large-scale detailed brain tissue modeling efforts and to advance the model generation and validation from ion channels to network behavior. Strong knowledge in experimental data and protocols will allow the candidate to show scientific leadership to supervise computational neuroscience students and intimate software knowledge to interface with the technical teams. The position is in close contact with an electrophysiology and modeling lab that have access to the state of art-supercomputer-based simulation technology.
Detailed Requirements:
• PhD in the field of computational neuroscience
• Expert knowledge in network and multi-compartment conductance-based modeling using NEURON
• Expert knowledge in network dynamics, whole cell electrophysiology, ion channel experiments and models; some basic wet lab experience will be an advantage
• Expert knowledge in Python and Matlab
• Good knowledge of model specification languages such as NeuroML, PyNN
• Profound knowledge in other programming languages (C++) and parallel computing is of advantage
• ‘Can-do’ attitude for pragmatic prototypes that accompany the global model building and validation strategy
• Co-supervision of PhD students
• Fluent English in speech and writing
What we offer:
• An internationally visible and rising project in simulation-based research in neuroscience
• The opportunity to bring computational neuroscience to a new level
• Supervision of research projects and publication opportunities in leading journals
• A young, dynamic, inter-disciplinary, and international working environment
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