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visual perception. Good programming (Python) skills are required along with a good understanding of empirical methods and ways to connect empirical findings with model behavior. The position also
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programming as a creative and performative practice, enabling students to generate, manipulate, and perform music, visuals, and interactive systems through code in real time. The successful candidate
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Zentralinstitut für Seelische Gesundheit | Mannheim, Baden-Württemberg | Germany | about 2 months ago
activity using optogenetic and/or chemogenetic approaches. Analyze and interpret experimental data using quantitative methods and programming tools (Python and/or MATLAB). Your Qualifications A PhD in
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candidate will conduct model verification, sensitivity analysis, calibration, validation, performance evaluation, and troubleshooting. The position requires strong scientific programming and software
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Postdoc – Advanced characterization of the stability of tandem photovoltaic cells under illumination
simulation, algorithmics, imaging, and Python programming. It is based on a bibliographic study and on the experimental handling of characterization tools. The job takes place at the Institut National
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
related Engineering or Physics. Experience with MRI acquisition and data analysis, preferably with familiarity with MRI sequence programming and/or coil design, particularly with Siemens scanners
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) as evidenced by their publications High performance computing (HPC) experience in code development with parallel programming techniques using the message passing interface (MPI) library Proficiency
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programming as a creative and performative practice, enabling students to generate, manipulate, and perform music, visuals, and interactive systems through code in real time. The successful candidate
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related quantitative STEM field. • Strong programming skills in Python and/or R; experience with SQL and Linux/Unix is desirable. • Demonstrated research experience in biomedical informatics, artificial
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boundary layer methods (Kármán momentum integral method) • Numerical methods for partial differential equations • Iterative solvers for linear systems • Fluent programming in Python and/or C