1,964 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Newcastle University" positions in Germany
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multi-omics data resources to drive innovative research REQUIREMENTS: Master’s degree (or higher) in (bio-)statistics, epidemiology, mathematics, or a related discipline Proven proficiency in R Solid
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 15 days ago
: preparation and analysis of biological samples for mass spectrometry calibration and quality control of the mass spectrometer analysis and interpretation of proteomics data collaboration with computational
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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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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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at the Institute of Medical Informatics within the research group “Medical Data Integration Center (MeDIC)” led by Dr. Michael Storck and is embedded in the DFG-funded Collaborative Research Centre 1748, Principles
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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
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epidemiologist/statistician with experience in designing epidemiological studies and analysing data to join our team and add their complementary skills. The applicant will be based in Hamburg, Germany, and must be
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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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interdisciplinary and international team of bioinformaticians, molecular biologists, and clinicians to identify (i) targetable lesions for cancer patients in high-dimensional data, including next-generation
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, Pharmacology, Statistics, Data Science, Artificial Intelligence