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University Medical Center Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 3 months ago
The Department of General and Visceral Surgery (Head: Prof. Dr. Stefan Fichtner-Feigl), University Medical Center Freiburg offers as soon as possible the position of a Postdoctoral Researcher in
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trials and deep learning-based modeling of multimodal biomedical data. We are seeking two highly motivated scientists with expertise in Causal Inference / Statistics / Deep Learning / Bioinformatics
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have a PhD in Biology, Bioinformatics or Biochemistry, preferentially with a focus on Plant Biology, Developmental Biology or Bioinformatics. Excellent English written and oral skills are required
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Research Fellow (f/m/x) in the field of Molecular Epidemiology/ Bioinformatics/ Computational Science to join our team at the earliest possible opportunity. Your tasks Develop and apply risk prediction
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methods of basic biomolecular research with analysis methods of bioinformatics and analytical high-performance technologies to investigate the complex interplay between the human organism and food
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computational/bioinformatics analyses is highly welcome. Projects in our lab usually combine experimental and computational components, with the relative emphasis tailored to the specific project and the
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collaboration with the team in Tübingen and with the parallel team based in Leuven. The candidate will collaborate with research carried out within the same period at KU Leuven by T. Nelis (FitMA) on the earlier
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microbiome sequencing/omics with core facilities Establish a state-of-the-art biofilm lab, develop SOPs, quality control processes, and ensure reproducibility Work closely with clinical collaborators; publish
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the Institute of Bio- and Geosciences (IBG-4: Bioinformatics, headed by Prof. Dr. Björn Usadel) at Forschungszentrum Jülich. The position is embedded in subproject A12 of the DFG-funded Collaborative Research
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
project partners across marine ecology, fisheries science, data science, Indigenous/local knowledge interfaces, and science-policy processes Your Profile A PhD in natural sciences Strong background in