29 computer-science-programming-languages-"the"-"UCL"-"O.P"-"U.S" PhD positions at Nature Careers in Germany
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, computer science and mathematics. Candidates are expected to suggest possible supervisors (PhoQS PIs) as part of the application process. Detailed information on the graduate and scientific program and the
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set by the DKFZ PhD Program Strong background in molecular and cellular biology techniques, including high-dimensional flow cytometry, gene expression analysis, cell culture (2D and 3D), and
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to the success of the whole institution. The Faculty of Computer Science, Institute of Theoretical Computer Science, thenewly established Chair of Algorithmic and Structural Graph Theory offers a position as
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program with a project-adapted curriculum (training courses, lectures etc. on scientific, technical and complementary skill topics) and a strong PhD student community the opportunity for travel to present
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. We expect strong communication and teamwork skills. Our offer Your PhD will be embedded in the new graduate school program „PhD in Medical Research – Cardiovascular Science“, which is part of
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, are essential. Due to the interdisciplinary framework and close collaboration between wet-lab and computational scientists, good communicative skills in English are essential. German language skills are not
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dynamical imaging in all areas of science, covering physics, chemistry and biology. 29 Interdisciplinary doctoral PhD projects in the fields of Ultrafast Science and Quantum Materials Research The program
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master’s degree (or equivalent) in neurosciences, biochemistry, genetics, data science or related disciplines English (at least C1 level) Willingness to participate in prolonged research stays (secondments
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
program, and iii) comply with a mobility rule requiring you to not have resided or carried out your main activity (work, studies, etc.) in the host country (Germany) for more than 12 months in the 36 months
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research environment is highly collaborative and interdisciplinary, spanning genome biology, computational analysis, and translational cancer research. Members of the lab gain expertise in next-generation