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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 3 days ago
collection Presenting and publishing ESS-relevant research in scientific conferences and journals Your profile: Above-average completed PhD (as well as a Master) in the Social Sciences (for example Sociology
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. This line of research is explicitly focused on the identification of large-scale macroecological patterns using established and innovative statistical modelling approaches. Beyond this research focus
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Experience Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, Physics, Biomedical Sciences, or a related quantitative field or an M.D./Ph.D. / M.D. with a strong computational
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-to-impact pathway to answer research questions related to weather-related hazards to help communities nationwide. The postdoctoral associate will apply statistical and epidemiological models to examine the
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planning. Key Responsibilities You will be responsible for: Conducting epidemiological and statistical analyses of linked questionnaire and healthcare data to validate the C -PICTURE algorithm
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. The candidate will be mentored in career development toward independent research and training to become a principal investigator. Enthusiastic applicants with a PhD, MD, or PhD/MD degree with expertise in
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the John Templeton Foundation. Gravity from Entropy is a statistical mechanics approach that derives gravity from principles of information theory and differential geometry. The aim of the project is to
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, this role may be considered as a secondment opportunity for existing employees; internal applicants should discuss this with their line manager before applying. You will have: compulsory A PhD in Health
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responsibility. Secondary Activities 1) Contribute to the training of team members (PhD students, interns). 2) Participate in scientific outreach activities. 3) Conduct a scientific watch on advances in fluvial
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respiratory tract disease status) to translate ambient/indoor concentration data into internal dose estimates. Contribute to statistical analyses linking IAQ and human biomonitoring (HBM) data to self-reported