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Science, Materials Science, Engineering, Physics, or a related domain. Proficient in Python; experience or eagerness to learn ML libraries (PyTorch, TensorFlow, scikit-learn), Familiarity with time-series analysis and
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programming, preferably in Python You have successfully acquired and managed third-party funded projects and have a track record of publications in recognized, peer-reviewed journals You have already taken
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Networks (SNNs) is a core requirement; familiarity with Convolutional Neural Networks (CNNs) is also expected Proven experience with Python frameworks such as Keras, PyTorch, or SNNtorch for neural network
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master’s degree in (applied) mathematics or related fields - at least basic programming skills, such as Matlab/Python - good communication skills and interest in interdisciplinary research/geophysical
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-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics
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(preferably in Python) Very good knowledge in German or English Please feel free to apply for the position even if you do not have all the required skills and knowledge. We may be able to teach you missing
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experience with algorithms relevant to computational biology documented programming skills, e.g. in Python and R very good communication and organizational skills with the ability to work to timelines, both
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intelligence in production technology You are optimally already familiar with the theory and approaches of machine learning and would like to specialize in this field Advanced programming skills in Python and
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, experience with programming (e.g., MATLAB, Python) is highly desirable Highly motivated, independent, and able to work effectively as part of a team Proficiency in English (both written and spoken
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simulation software, e.g., SUMO, MATSim, etc. Good command of a statistical or procedural programming language such as R, python, julia, matlab, etc. Interest in transport policy We offer We offer a full-time