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proof-of-concept software tools Machine learning is a plus Strong analytical and programming skills are required (Python, Matlab, and C/C++). Prior proven experience in data-driven innovation projects is
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in one or more of the following areas: Organic synthesis Polymer chemistry Computer programming (Python) Submitting an application As well as supporting documents, applications must include a Research
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modeling and data analysis. An interest in groundwater contamination, risk assessment, and sustainability. Programming experience (Python, MATLAB, or similar) is desirable but not essential. However
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with other team members Implement AI-based microscopy image analysis software as python packages Develop algorithms to integrate topology constraints in AI models Report findings and methods in conference and
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and CW THz spectroscopy in reflection will be an advantage. The position will also involve some Python programming, remote control, and hardware interfacing. Limited teaching within physics can be
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and transport in porous media Practical experience with scientific programming languages (e.g., Python, C++, or Matlab) and simulation software (e.g., SLB software, COMSOL, OpenFOAM, or similar
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about your motivation, not about the courses you have taken.) • Programming skills: You should have very good programming skills in Python or similar, which allow you to effectively test out new
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criteria for the position. Preferred selection criteria Familiar with SPSS, STATA, R, or Python for quantitative analysis Knowledge of NVivo or Atlas.ti for qualitative data analysis Personal characteristics