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-Westfalen 53115, Germany [map ] Subject Areas: Physics / Elementary Particle Theory , Dark Matter , Dark Matter and Axion , Dark Matter and Axion Physics , Elementary Particle Physics , hep , hep-ph , HEP
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postdoctoral candidates also experience) in stable isotope geochemistry and analysis. Expertise in data analyses and willingness to collaborate closely with colleagues in climate and vegetation modeling
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
sets, programming (preferably in R), statistical analysis, modelling, and mapping Highly motivated and eager to work in an interdisciplinary marine research context Excellent communication and teamwork
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 17 days ago
, the successful candidate will work on a project aimed at understanding which factors are shaping the length of working life; and/or on projects in survival analysis and causal inference. The candidate will develop
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Dynamics group combines biochemistry, next-generation sequencing and computational analysis to understand how chromatin remodelling enzymes shape nucleosome positioning and genome regulation. We develop and
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Karlsruhe Institute of Technology, Physics Position ID: Karlsruhe Institute of Technology-Physics-POSTDOC [#30953] Position Title: Position Type: Postdoctoral Position Location: Karlsruhe, Baden
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discussions and team meetings Taking over project responsibility Collaborating closely within an interdisciplinary research team Sincere interest in analysis of large-scale data – we can provide guidance Your
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will investigate how diets (e.g. high-fat diet, ketogenic diets) and dietary components drive or reverse inflammation and includes the analysis of metabolic pathways controlling tissue resident immune
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survey experiments Engage independently in data collection (survey experiments) in five European countries (DE, IT, NL, PL, UK), as well as data management and analysis Author and co-author papers and
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, metaproteomics, genomics, immune phenotypes) and support improved metaproteomic data analysis strategies Build predictors for identifying key fungal and host features determining resilience versus susceptibility