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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
students will have the opportunity to participate in one of several available PhD programs, with three years funding, in collaboration with the University of Göttingen. Master’s students aiming at a fast
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, probability, and statistical signal processing Familiarity with antenna array signal processing techniques Sound understanding of optimization methods and algorithms Proficiency in Python programming Proven
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intense mutual collaboration Salary according to tariff agreement, extra annual payment, and company pension plan (VBL) A respectful and appreciative work environment within a diverse team For inquiries
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, scientific curiosity, and commitment to scientific excellence. • Advanced hands-on experience in optics, sensors, lasers, optical fibers. • Programming skills in MATLAB / Python • Team player skills and
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, animal handling, experimental stroke models / behavioural testing, and programming skills in R or Python A strong publication record and high motivation to work at the interface of vascular biology and
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of research achievements and publications in top-ranked journals. • Strong motivation, scientific curiosity, and commitment to scientific excellence. • Programming experience Python with good software
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independent and creative research; Solid programming experience in C++ and/or Python, and familiarity with modern robot learning frameworks; Proven expertise in one or more of the following areas: robot
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learning approaches for high-dimensional data, and programming skills in R or Python. Profile Track 2 – Experimental Immunology / Bone Marrow Biology / Trained Immunity Candidates with an experimental
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desirable, as well as knowledge of behavioral coding programs (e.g., Datavyu) and mastering of statistical methods and programming languages (e.g., R, Python). Experience with online data collection and
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-on experience with robotic hardware (e.g., robot arms, tactile sensors) Familiarity with model-based planning approaches, robot force/motion control, and reinforcement learning Proficiency in programming (C