62 scientific-programming-"INSAIT---The-Institute-for-Computer-Science" PhD positions at Technical University of Munich
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14.08.2025, Wissenschaftliches Personal PhD (f/m/d) in Polymer Physics/Material Science funded by ERC StG with excellent opportunities for both research and career development. The Technical
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/Materials Science funded by ERC StG with excellent opportunities for both research and career development. About us Our research focuses on extracting and isolating bio-based polymers such as cellulose and
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on Responsible Data Science. The PhD positions will be at the intersection of Data Science and Social Sciences and will focus on topics such as Explainable & Fair AI, AI Auditing, AI Alignment, and AI Safety in
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Master’s degree in biotechnology, bioengineering, biosystems engineering, chemical engineering, food science, or a comparable field of study, preferably with an affinity for technical tasks - Basic knowledge
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Science, Transportation Research Part B, or conferences such as SIGKDD, ITSC, CIKM) Strong programming skills in Python Strong interest in scientific research with the goal of obtaining a doctoral degree
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enjoyment of scientific research questions especially in the area of cellular agriculture Tasks Depending on suitability and personal profile, potential tasks include but are not limited to: - Perform LCA and
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01.08.2025, Wissenschaftliches Personal For a scientific project for Spin-Selective Neutron Detection using Quantum Sensing, we are looking for a PhD Position (m/f/x) with 30h/week. The Technical
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presentation of results at scientific conferences, Teaching courses and supervising of student theses YOUR PROFILE University master's degree in geophysics or physics, above-average, with ideally good knowledge
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training in oceanography, climate science, Earth Observation, and data science within a highly international research team. The Chair of Data Science in Earth Observation develops innovative signal
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: excellent university degree (diploma, master's degree) in transport or related study programs with a solid basis in transport, data science, and/or data analytics; or equivalent practical experience