13 computer-programmer-"https:"-"Inserm"-"Washington-University-in-St" "https:" PhD positions at Leibniz
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science foundation (DFG). Doctoral students (m/f/d) are facilitated to participate in the doctoral program in order to successfully complete their dissertation. We offer an attractive workplace with
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with the research groups at the DPZ and the Göttingen Campus. PhD projects cover a broad range of topics. A structured PhD program will offer many opportunities for the development of scientific and
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will be given the opportunity to develop a doctoral thesis with extensive support through the CBBS graduate program (https://cbbsgp.med.ovgu.de ). Your profile: MSc in Neuroscience, Biology, Biomedical
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programme (Grant Agreement number 101225682). The METAMIC 3 project will embed Doctoral Candidates in a unique training environment to advance microbiome science through metaproteomics. The network addresses
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; German would be desirable Initiative, motivation, commitment, and scientific curiosity We offer a structured PhD program, exciting research topics, a stimulating international environment, a good
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Commission under the Horizon Europe framework programme (Grant Agreement number 101225682). The METAMIC 3 project will embed Doctoral Candidates in a unique training environment to advance microbiome science
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Physical Oceanography, Marine Chemistry, Biological Oceanography, Marine Geology and Marine Observations work interdisciplinary within a joint research program. What will be your tasks? As part of
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%, limited for 3 years, start: as soon as possible) in the trilateral program “Future Proofing Plants to a Changing Climate” (funded by DFG, UKRI-BBSRC, NSF, USDA-NIFA) Who we are: The research group Symbiosis
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standards in biodiversity text analysis Disseminate research results through peer-reviewed publications, academic conferences, and collaborative research proposals Your Profile MSc in biodiversity informatics
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Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine Learning”. About the