264 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" Postdoctoral positions in Germany
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, including quantitative, qualitative, and experimental approaches. Ideally, experience with Python, Stata, or R. • demonstrates proficiency in data collection, processing, and analysis, preferably using
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and fire tests Data evaluation, interpretation, and scientific discussion of results Documentation, reporting, and presentation of results at scientific conferences and publication of results in
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and conducting psychological experiments, with a strong focus on the collection, analysis, and interpretation of neuroimaging data using EEG, fMRI, and combined EEG–fMRI techniques. Your Qualifications
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 24 days ago
of the lab to tackle how transposable elements are contributing to mammalian embryonic development in health and disease Analyze and interpret scientific data Adapt existing methodologies and develop new
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of Antarctic Marine Living Resources (CCAMLR), which aims to manage the fishery sustainably through ecosystem-based approaches that incorporate data on predator populations, ecosystem state, and krill abundance
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the institute, and a dedicated, powerful bioinformatics server infrastructure has been established for data analysis. We seek an enthusiastic scientist with interests in bioinformatics, microbiology, and
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Ph.D.) in biology, biochemistry, biotechnology or a related field and have published previously in peer-reviewed journals. Knowledge in single-cell RNA-seq, laboratory automation and data analysis, and
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
the structure from such data is challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine
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. Further information can be accessed by visiting our webpage at www.csbdresden.de Fellows have full access to state-of-the-art research facilities and infrastructure on the campus. Dresden is a vivid and
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), proteomics (LC-MS/MS), (epi)genomic data processing, multi-omics integration, machine learning approaches for high-dimensional data, confocal / two-photon imaging, tissue clearing and light-sheet microscopy