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(preferably in Python, including deep learning frameworks such as PyTorch); affinity with medical image analysis and computational modeling; experience with neural networks for image analysis, generative
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skills (Matlab/Python coding, user-defined FE routines, …), o theoretical (mechanical) analyses, o microstructure-based simulations (using experimental microstructures) o materials and microstructure
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, or (applied) physics. Excellent lab-experiences Advanced mathematical, analytical skills, and programming skills, e.g., in Python. A keen interest in interdisciplinary research. An excellent command of English
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skills; Excellent programming skills (preferably Python and/or C++); Excellent proficiency in English (oral and written). Flexibility regarding working on-site with the diverse project partners. If you
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methods for audio data. A publication record in ML applied to bioacoustics is a bonus; Good programming skills in Python. Familiarity with ML frameworks (PyTorch, Tensorfiow, Jax) is a bonus; Demonstrated
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; strong publication record; being able to collaborate with scientific peers inside and outside your own research area; strong programming skills in Python or other programming languages; excellent
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with user studies, preferably qualitative methods such as interviews, think-alouds or focus groups; significant coding experience in Python; experience with LLMs, in particular as part of agentic systems
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atmospheric datasets using programming languages such as Python, MATLAB or R. Experience with atmospheric data processing, quality assurance and statistical analysis. A strong publication record of peer
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or simulation tools such as Python, MATLAB, COMSOL or equivalent software. Ability to plan experiments systematically, quantify uncertainty and document results reproducibly. Proficiency in written and spoken
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, spectroscopy) Data analysis, where programming (e.g., R, Python, Matlab) is considered a big plus Transferable skilss Open to learn and develop Pro-active and problem-solving mindset Ability to break-down and