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highly motivated doctoral student to join an ambitious project aimed at building machine and deep learning models to study the genetics of human disease. Funded as part of the Helmholtz AI program, the
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for scientific work strong programming skills and experience in software projects excellent written and spoken English skills TUD strives to employ more women in academia and research. We therefore expressly
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this exciting field of biomedical research, EpiSignal offers a state-of-the-art interdisciplinary training program at the intersection of cell signaling and molecular epigenetics, that optimally prepares doctoral
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at consortia meetings, national and international conferences, and workshops Your profile Essential qualifications: MSc degree in materials science, mechanical engineering, physics or similar basic programming
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opportunity to establish a cutting-edge research program with significant impacts in this field. We are particularly interested in candidates who can develop an innovative research agenda in areas such as
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” supported by the International Continental Scientific Drilling Program (ICDP) and aiming to study the icehouse–hothouse transition during the Permian (299–252 million years ago) and extreme continental
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academic area such as applied mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and
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Columbia (UBC) in Vancouver offers 4 PhD Positions The program comprises a series of complementary experimental and theoretical projects, investigating and controlling the electron and nuclear dynamics down
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Bioimaging Cluster of Excellence (https://mbexc.de/ ). Most PhD students are inscribed in the competitive „sensory and motor neuroscience“ program of the Göttingen Graduate School for Neurosciences, Biophysics
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“ program of the Göttingen Graduate School for Neurosciences, Biophysics, and Molecular Biosciences (GGNB, http://www.uni-goettingen.de/en/sh/56640.html), which offers attractive interdisciplinary training