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Field
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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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Degree Doctor of Philosophy (PhD), Division of Mathematics and Natural Sciences or Doctor rerum naturalium (Dr rer nat) Course location Göttingen In cooperation with Max Planck Institute for Solar
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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
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an interest in computational neuroscience and with a strong mathematical background are welcome to apply if they hold an MSc or equivalent degree at the start of the programme. We strongly advise you to check
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will be matched with PIs’ projects. Who can apply? We are looking for excellent candidates with a completed Master’s degree in various fields (Life Sciences, Bioinformatics, Mathematics, Physics
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The Leibniz Institute for Food Systems Biology at the Technical University of Munich (LeibnizLSB@TUM), a legal foundation under civil law based in Freising, is a prominent member of the Leibniz Association. Our institute integrates cutting-edge biomolecular research, bioinformatics, and...
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mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory
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(biology, biochemistry, chemistry, physics, bioinformatics, mathematics, or related fields). The academic performance should be excellent (rank at or near top of class). Doctoral candidates register with
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involved in research from the start. Our university is currently home to some 11,000 students enrolled in around 120 different degree programmes in the fields of mathematics and natural sciences, humanities
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-human-knowledge-for-eternity We are looking for a student with a strong mathematical and/or coding background. Interest of background in coding theory, information theory, and algorithms is desired. You