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field such as computer science, bioinformatics, mathematics, computational life sciences, or related. Profound knowledge in machine learning, preferably deep learning for image data. Experience in
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Academic staff for the "Learning Sciences and Educational Design Technologies" working group (f/m/d)
19.03.2025, Wissenschaftliches Personal About us The working group Learning Sciences and Educational Design Technologies is looking for a post-doctoral re-searcher (m/f/d), TV-L E 13, 75%, initially limited to the project duration with an ideal start in May 2025. The working group Learning...
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experts, including Dr. Dr. Sanket Rane (Columbia University, NY) specializing in mathematical modeling, Prof. Benedict Seddon (University College London) focusing on lymphocyte development and homeostasis
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degree in Computer Science or Mathematics. - an interest in machine learning and game theory. - excellent communication skills in English. If you fit this profile, like challenging tasks, and are
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Excellent knowledge of aeronautical or spaceflight mechanics Excellent knowledge of control theory, including linear, nonlinear, and optimal control Excellent mathematical, analytical and problem-solving
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related field at the time of appointment Required knowledge Excellent knowledge of spaceflight mechanics, control, orbital robotics, and space systems engineering Excellent mathematical, analytical and
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Science, Physics, or a related field at the time of appointment Required knowledge Excellent knowledge of spaceflight mechanics Excellent mathematical, analytical and problem-solving skills Proficiency in English
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, support lab courses, and supervise student research. Your profile: Above-average master’s degree in computer science, electrical or mechanical engineering, applied mathematics, or a similar engineering
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good publication track record Above-average master’s degree in computer science, electrical/ mechanical engineering, applied mathematics, or a similar engineering-oriented quantitative discipline
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analysis (TEA) or an affinity towards these research questions. - Basic knowledge in bioprocess design, bioengineering and/or mathematic modeling - Affinity towards research question in life cycle