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development. We are inviting applications for the position of University Professor (m/f/d) of Medical Biostatistics (comparable to salary grade W2 LBesG) The successful candidate will represent the entire field
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/he holds a doctorate degree in economics, health economics, health science, biostatistics, bioinformatics, epidemiology or public health (or is close to completing it), ideally with a focus on health
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degree (MSc/PhD) in a relevant field (e.g Bioinformatics Informatics, Computational Biology, Biostatistics, Data Sciences preferably with a background in NGS analysis. the applicants should be highly self
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publications. Requirements We are looking for a candidate who meets the following conditions: She/he holds a doctorate degree in economics, health economics, health science, biostatistics, bioinformatics
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Medicine in Hamburg is looking for a highly motivated PhD Student in Medical Sciences (m/f/d) -65% EG 13 TV-AVH- with a focus in Epidemiology, Biostatistics and Clinical Research We are seeking a motivated
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for prevention, health promotion, and medical care on a broad scale. We are seeking an outstanding researcher engaged in public health-related research (population health, epidemiology, biostatistics, medicine
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./week) in the fields of microbiology, aquatic microbial ecology, microbial interactions, molecular ecology and biostatistics Independent planning and implementation of lectures and seminars in both in
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Helmholtz-Centre for Environmental Research, UFZ, Multiple Stressor Ecology group of the Department of Ecotoxicology | Leipzig, Sachsen | Germany | about 1 month ago
exposure. Bioinformatics and biostatistics workflows will then be applied to derive molecular sensitivity thresholds and causal relationships for comparison across biological scales. To further root
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Proficiency in R Experience working within a UNIX/Linux environment Strong background in bioinformatics and biostatistics, including analysis of high-throughput data in at least one omics area (genomics
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Two Professorships (W3) for Digital Health: Non-communicable Disease & Health Information Technology
technologies and a strong background in one or more of the following disciplines: medicine, bioinformatics, biostatistics, computational epidemiology, medical informatics, machine learning in medicine. We offer