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/artificial intelligence; publications--or potential for publications--in academic journals in the field; coding proficiency, preferably in Python; excellent communication and presentation skills; self
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, Applied Mathematics, or a related field. Strong expertise in: Computer vision and image processing Deep learning (e.g., PyTorch, TensorFlow) Data-driven modeling and analysis Proficiency in Python and
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using Python and related tools. Prepare manuscripts for publication in peer-reviewed journals and present research findings in conference presentations, technical reports, and other scientific forums
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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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results by publishing in peer-reviewed journals. Attend conferences to disseminate the ideas. Share the Python codes in a well-maintained GitHub repository for public use. Make R or Python package
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results by publishing in peer-reviewed journals. Attend conferences to disseminate the ideas. Share the Python codes in a well-maintained GitHub repository for public use. Make R or Python package
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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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-engineering skills, including experience with Fortran and Python and, preferably, C or C++, APIs, dynamic-link libraries, version control, Linux environments, and high-performance computing. The candidate
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-stationary environments. Implementation Expertise: Outstanding scientific programming skills (Python, PyTorch/JAX) with a proven track record of developing, debugging, and scaling deep generative
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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