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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 3 days ago
and cleaning Routine sample measurements and data analyses (e.g. protein identification and quantification, determination of Mw) Acquisition, evaluation and analysis of LC-MS data in scientific projects
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Stratification and its Moral Foundations across Countries. Your tasks: Carry out high-quality research toward the goals of the project, in an independent and collaborative manner using comparative panel data and
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460 euros a year Payments towards health, accident and personal liability insurance cover (see also our important information for scholarship applicants / section F, point 4) Travel allowance Upon
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covered by other funding providers: Further information Further information For further information see: www.daad.de/dlr Application requirements What requirements must be met? At the time of
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Duration 2 years Scholarship Value financial and non-material support Up-to-date information is available on the programme website . Application Papers Application forms and further information
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Degree PhD in Health Data Sciences Course location Berlin In cooperation with Institute of Public Health, Charité - Universitätsmedizin Berlin Institute of Biometry and Clinical Epidemiology
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Course location Bonn Description/content Anthropology, Biomechanics, Clinical Studies, Epidemiology, Genetics, Health Services Research, Imaging, Statistics For further information, please visit our
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the research area of Operations Research with a focus on Artificial Intelligence, especially data driven optimization and machine learning. Teaching responsibilities include courses in the university’s
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As the German National Library of Science and Technology our future-oriented services ensure the infrastructural requirements for a high-quality supply of information and literature for research in
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available in the further tabs (e.g. “Application requirements”). Programme Description The scholarships are aimed at Master's and PhD students in the following disciplines: natural science, pharmacy or data