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in Environmental Modelling, Land Use modelling or another relevant field, with clear skills highly complementary to those of the JPP4JL research team Proven ability to write code in R or python
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) A PhD in a related discipline, and/or relevant work experience. Skills in programming or scripting, sufficient to develop or modify codes used for data analysis and for materials modelling
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understanding of how neural coding and speech perception are degraded in individuals with Auditory Neuropathy Spectrum Disorders (ANSD) [1]. The project leverages physiologically-informed computational models
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) software (e.g., COMSOL, ANSYS, or custom FEM codes) Proficiency in one or more programming languages (e.g., MATLAB, Python, C++, Julia). Strong written and oral communication skills Ability to work
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d) excellent written, oral communication skills e) strong data analysis skills. Ideal applicants will also have experience with some combination of: a) Machine learning e) code optimization and
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modeling expertise, including code development experience related to one or more of the following: 1) Flow and reactive transport in fractured porous media 2) Geomechanics and fracture propagation in
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Regular/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job 15% Design experiments related to influenza and/or innate immunity 55% Execute
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, neural engineering, and data analytics. Among the key duties of this position are the following: Collecting behavioral and electrophysiological data in the clinical environment. Writing replicable code
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funded by the National Science Foundation. The position is focused on performance analysis and optimization of the MILC code and the libraries it calls such as QUDA or Grid. The successful applicant can
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learning algorithms on graphs to model, characterize, predict, and design the thermal and physical behaviors of diverse material systems. Responsibilities also include the development of software codes