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should hold an MSc (or an equivalent degree) in biology, biochemistry, neuroscience, physics, computer science, physics, chemistry, mathematics or related disciplines in the field of natural sciences
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Degree Dr rer nat Course location München In cooperation with Find out about the participating research groups here: https://www.lsm.bio.lmu.de/faculty/current-members/index.html Teaching language English Languages All courses, lectures and seminars at the LSM are held in English. Students can...
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: Physics / Electrical Engineering Faculty 02: Biology/Chemistry Faculty 03: Mathematics / Computer Science Faculty 07: Business Studies and Economics Faculty 09: Cultural Studies Faculty 10: Linguistics and
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | 1 day ago
of scholarships are available. Outstanding graduates may also receive funding for their research projects from the GRS and the Postdoc-Network-Brandenburg. Faculties Faculty 1 Mathematics
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involves mathematical modeling and numerical simulation, but also the analysis of experimental datasets for model validation. Your Profile: A Masters degree with a strong academic background in physics
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, computer science, applied mathematics, physics or a similar area - very good programming skills in Python - good prior experience with neural networks using common Python-ML libraries such as PyTorch
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science, applied mathematics, physics or a similar area very good programming skills in Python good prior experience with neural networks using common Python-ML libraries such as PyTorch preferably also background
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or natural sciences Bioengineering or materials science Medicine Computer science, physics/biophysics, or applied mathematics If you’re excited about interdisciplinary research and ready to grow as an
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Faculty 08: Philosophy and History Faculty 09: Linguistics, Cultures, and Arts Faculty 10: Modern Languages Faculty 11: Geosciences and Geography Faculty 12: Computer Science and Mathematics Faculty 13
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Sciences. The programme focuses on conditions, processes, and outcomes of learning with research perspectives ranging from psychology, educational science, medicine, mathematical education, neurosciences