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metabolic assays and imaging techniques such as echocardiography or tracer-based studies. Analytical and detail-oriented. You can work with quantitative data and statistical tools (e.g. R, Python, GraphPad
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qualities The successful applicant will hold an MSc in Earth Sciences, Geology, Physics, or related field by the time the position starts. Good quantitative skills and programming experience (Python/MATLAB
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analysis and data processing in R or Python - information provided in the CV and/or motivation letter; Experience in fieldwork, particularly botany and birds - information provided in the CV and/or
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science, phase change phenomena, or micro/nanoscale heat transfer Good data analysis and programming skills (e.g., Python, MATLAB, or similar) Strong motivation, good communication skills, and the ability
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competencies and skills within programming and statistical analyses (e.g., in Python, R, or STATA) are a requirement. A Background/knowledge in media technology is a requirement. The applicant must be able
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learning, statistical estimation methods, software tools, and big-data frameworks. Programming languages such as e.g. Python, C++, and LABVIEW. Emission control rules and regulations in the shipping industry
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experience with: Reinforcement learning. Neuro-musculoskeletal modeling Knowledge of the following is a plus: Real-time programming (C++, Python) Real-time communication systems (e.g., EtherCAT, CAN Bus
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. Preferred Qualifications Knowledge of aging-in-place, accessibility, or universal design. Experience with AR/VR tools, programming/coding (Python, R, Unity, or JavaScript), or community-engaged research
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list of what TUM offers: https://www.gs.tum.de/en/gs/community-diversity/welcome-services/ Qualifications and Interests: Master's degree in Economics, Psychology, Behavioral Science, Social Science
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Economics, Computational Science, Geography, Environmental Studies, or Engineering & Policy Analysis; Knowledge of a programming language (Python, Julia, etc) and training in any of the simulation methods