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of the above-mentioned funding opportunities within the university Fully funded position LMU Travel Grant, LMU Completion Grant Academic admission requirements Excellent Master's degree in computer science
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semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme Yes Description/content All coursework is science-based, and all courses require basic knowledge in
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dedicated to world-class teaching and research in medicine and STEM . Its 10,000 students are distributed among the faculties of medicine, engineering, computer science and psychology, mathematics and
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German Cancer Research Center (DKFZ) Heidelberg • | Heidelberg, Baden W rttemberg | Germany | about 10 hours ago
interdisciplinary, which is reflected by the fact that PhD students have an academic background in (molecular) biology, (bio-)chemistry, (bio-)physics, mathematics, computational biology, computer science
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Degree Doctor of natural sciences (Dr rer nat) Doctoral degree or degree awarded by University of Bonn Course location Bonn In cooperation with Bonn International Graduate School of Mathematics
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(or an equivalent degree) in biology, biochemistry, neuroscience, physics, computer science, physics, chemistry, mathematics or related disciplines in the field of natural sciences. Applicants with a European four
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oceanography), chemistry, ecology, mathematics, computer science, engineering, economics, or political science Since the programme focuses strongly on numerical simulations, candidates with computer literacy
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 10 hours ago
, psychology, medicine, neurobiology, computer science, engineering, mathematics, physics, neuroimaging, biochemistry, or related fields. The Master’s degree should have been awarded by an internationally
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. Academic admission requirements Master of Science or equivalent degree with a strong background in neuroscience, biology, physics, biomedical sciences, computational science, applied mathematics, statistics
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background relevant to the multidisciplinary research of our IMPRS-ML Faculty , including but not limited to Biology, Biochemistry, Biophysics, Chemistry, Computer Sciences, Engineering, Mathematics, and