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., MATLAB, Python) is required. Experience with machine learning is highly preferred. Ability to work independently and as part of a team. Key Requirements for PhD: Hold a Bachelor's degree with outstanding
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in a research environment a plus General languages (preferred): C++, Python, MATLAB CUDA (strongly preferred) Machine learning knowledge. e.g. logistic regression, SVM, neural network models Basic
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Matlab or equivalent programming languages (e.g. R, Python) Database and project management skills Knowledge of statistical techniques Good information technology and computing skills and experience with
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programming languages like Python or Matlab environment. Knowledge for programming (python) would be a plus for the force curves interpretation since some codes have been developed for the 3D -AFM data analysis
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. or equivalent degree in Medical Physics, Physics, Biomedical Engineering, Computer Science, Applied Mathematics, or a related quantitative discipline. Strong programming skills in C++, Python, MATLAB, or similar
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analytics / atmospheric monitoring of greenhouse gases and interest in automated setups and field work. Knowledge of scientific data analysis (e.g. Python, MATLAB or R). Good verbal and written communication
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expertise and experience in vision science, retinal neurobiology and advanced connectomic methods and related data analyses skills including advanced statistics, MATLAB and Python programming skills
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interest in learning, adaptation, and dynamical systems in physical contexts Experience with analytical and\or computational modeling. Proficiency in numerical methods and coding (Python, JAX, MATLAB
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project team. Proven programming skills in Matlab and/or Python Motivated to develop your teaching skills and coach students Fluent in spoken and written English (C1 level) Additional Information Benefits A
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, XPS/AFM, electrical probing; DoE/statistics (Python/Matlab a plus). Strong documentation, safety discipline, and clear communication in English - essential for data analysis and communication with