29 parallel-and-distributed-computing-phd-"Multiple" Postdoctoral positions at Leibniz in Germany
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very well-equipped Lab with an international team Access to multiple state-of-the-art facilities including Life Science Computing, Functional Genomics, Proteomics and Next Generation Sequencing. Our work
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‐sharing agreements. Data analysis & interpretation: Process and interpret high‑throughput sequencing outputs to assess biodiversity patterns across multiple MPA sites. Comparative evaluation: Critically
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within an interdisciplinary research team Your Qualifications: University degree (PhD, M.D., or equivalent) in Biology, Life Sciences, or Biomedicine Strong motivation and a genuine interest in stem cell
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interests, successful applicants will have the following qualifications: Completed or soon-to-be-completed doctorate in one of the following or related disciplines: information science, science studies
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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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Qualifications / Experience: • A PhD in Physics, Geoscience or a related field • Proven expertise in numerical modelling using super computing clusters • Excellent knowledge of atmospheric physics • Proficiency in
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good communication and organizational skills, and ability to work in an independent and flexible manner PhD degree in the Life Sciences Very good English language skills (oral and written) What we offer
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interdisciplinary within a joint research program. What will be your tasks? The successful candidate will work closely with scientists, postdoctoral researchers, and doctoral students within the department, as
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Profile: We are looking for highly motivated candidates (m/f/div) with a PhD degree in inorganic chem-istry, organometallic or organic chemistry who are interested in carrying out interdisciplinary research
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assess consequences of changes along tropical coasts for the Earth system. The strategic extension is integrated into the interdisciplinary ZMT Programme Areas . It will enhance ZMT’s modelling