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Analysis (ICA), Variational Autoencoders (VAEs), and matrix factorization techniques); · Experience with programming in Python and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn
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Requirements working in a Linux environment, basic Bash, scripting in Python (awk, R or other); being familiar with protein sequence and structure analyses (eg. structure prediction and docking); knowledge
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at the Doctoral School (i.e., 1st March 2026). Specific Requirements working in a Linux environment, basic Bash, scripting in Python (awk, R or other); being familiar with protein sequence and
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for mathematics Experience with programming (e.g. Python, C++, CUDA etc.) Knowledge of information theory Good reasons to join: Look forward to a unique working environment on our international research campus
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, genetics, multi-omics data analysis, and/or genome annotations (R or Python skills desirable) • Prior experience in engineering Aspergillus spp. is a plus • Strong motivation for interdisciplinary research
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, (Computational) Epidemiology, Behavior Sciences or a related field; experience with programming and modelling (e.g., Python, R, NetLogo, AnyLogic, or similar); a strong interest in urban health, physical activity
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, preferably with a background in behavioral neuroscience or signal processing (especially of bioacoustics data) - Programming experience (e.g. Python, R, Matlab, etc.) - Strong communication and
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, Psychology, or a related field, to be awarded before March 1st, 2026. Essential skills include an ability to code (e.g., Python, R) and interpret data, knowledge of machine learning and statistics, and a
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expect to obtain your Master’s degree with the above-mentioned experience around the starting date of the appointment. You have experience in computing languages such as R, Python or similar. You bring
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academic performance. Experience with stochastic methods, risk and reliability analysis, and data analysis. Programming experience in Python, MATLAB, C/C++, or a similar language. Strong analytical