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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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to exploring the fascinating world of environmental sciences in its entirety, employing molecular biology techniques, advanced biostatistics and bioinformatics, and epidemiology analyses. We invite you to be a
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, Pharmacy, Biochemistry or Biology. • Master's degree in Genetics, Bioinformatics, Biostatistics, Public Health or Biomedicine. Additional Information Website for additional job details https://www.imim.cat
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, and Computer Science, and from researchers and students from the departments of Mathematics, Informatics, Philosophy, and the Oslo Centre for Biostatistics and Epidemiology at UiO, and the Norwegian
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, and Computer Science, and from researchers and students from the departments of Mathematics, Informatics, Philosophy, and the Oslo Centre for Biostatistics and Epidemiology at UiO, and the Norwegian
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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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. A minimum of a bachelor's degree in a relevant field such as health sciences, biology or a related discipline is required. Specialized coursework in areas like epidemiology, biostatistics
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) for ongoing lab projects. The candidate should have a two-year master’s degree in Bioinformatics, Computational Biology, Biostatistics or in a related quantitative field (e.g. Mathematics, Physics, Statistics
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project requires a degree in psychology or a related field, preferably with neuropsychology expertise and foundational knowledge in mental health, along with interest in biostatistics and data science
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, along with a foundational understanding of biostatistics, artificial intelligence, machine learning and data science. Candidates should combine a strong foundation in mental health with a keen interest in