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engineering Knowledge of machine learning (deep learning) Basic knowledge of computer science or software development, e.g., using Java, Python, or C++ Good communication and information skills, goal-oriented
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, empwering personalized medicine in psychiatry. Experience in quantitative genetics and/or deep neural networks, R/Python/PyTorch/Tensorflow etc. is desirable. Apply now via our career portal until 19.11.2025
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
(Python, Supervised learning, Multi-objective optimization) Additive manufacturing of metals Corrosion characterization Mechanical testing Great emphasis is put on personal qualities such as the ability
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fields (genetics, genomics, bioengineering, applied mathematics) Obtained or will obtain a Master’s degree in the above fields (For biologists) Intermediate programming skills in R or Python and prior
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Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl
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histopathological evaluation Statistical programming languages like R or Python Good communication skills in English; proficiency in German desirable but not required Willingness to work independently while
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, Biomedical Imaging, or a related field A strong interest in molecular imaging (PET) and magnetic resonance imaging Experience with programming (Python, C++, Matlab) A keen interest in experimental work, as the
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, or a related field A strong interest in magnetic resonance, biomedical imaging, and computational analysis Programming skills (C++, Matlab, Python) Willingness to perform cell culture and animal
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mechanics, geosciences, physics, mechanical engineering or related disciplines #programming skills in one or more languages (Matlab, Python, R, C, Fortran) #excellent knowledge of English (written and spoken
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fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator facilities is advantageous. We