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Diploma) in the field of physics and PhD degree outstanding specialized knowledge in the field of astrophysical surveys and data reduction comprehensive expertise in the fields of astrophysics, data science
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professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR can be found
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Frankfurt School of Finance & Management • | Frankfurt am Main, Hessen | Germany | about 6 hours ago
Combined Master's degree / PhD programme Yes Joint degree / double degree programme Yes Description/content The doctoral programme at Frankfurt School offers rigorous training in Accounting, Economics
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years. Requirements for the position include a PhD in Genetics, Anthropology, Evolutionary Biology, or related fields, postdoctoral experience and an outstanding research record. The ideal candidate will
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career scientist with PhD(or equivalent) in Plant Biology, Biochemistry, Molecular Biology, Analytical Chemistry, or related field interested in integrated plant metabolomics and proteomics. Hands
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: Masters and subsequent PhD in Physics, Chemistry, Material Science or related disciplines Experience in neutron spectroscopy, e.g. INS, QENS, NSE Good knowledge of the structural characterization of matter
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data science applications) is desirable. Outstanding, pioneering research in the field of Benthic Biogeochemistry is expected. Experience in conducting multi-day cruises, ideally as a cruise leader, is
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which are funded by the federal and state governments. The research institutes belong to the Leibniz Association. WIAS invites applications as PhD Student Position (f/m/d) (Ref. 25/11) in the Leibniz
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Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disea
for extramural funding and build an own computational biology research group Your profile: A PhD (or equivalent) in Bioinformatics / Computational Biology More than 5 years postdoctoral experience with several
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degree in (analytical) chemistry, biochemistry, or a related discipline Hands-on experience in mass spectrometry-based proteomics (e.g. DDA, DIA, PRM) Experience with proteomic data analysis Computer