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industry. To succeed in meeting these responsibilities, Helmholtz concentrates its work in six research fields: Energy, Earth and Environment, Health, Information, Matter, as well as Aeronautics, Space and
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in close cooperation with theory. An interest in modern methods of data analysis is therefore highly welcome. The required qualifications include a PhD in Chemistry, Physics or Materials Science, as
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Service) applications Support the C3S Agriculture Micro-site and Mediterranean Demonstrator with agronomic insights and data Your qualifications: PhD in crop science, computational environmental science, or
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experience in processing large data sets (preferably using R or Python) Highly motivated and eager to work in an interdisciplinary marine research environment Excellent communication and teamwork skills, with
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the Excellence Cluster for Systems Neurology (SyNergy ) and a Leducq Network on Brain Endothelial Cells. Our environment As part of the DFG-funded Excellence Cluster SyNergy, member of large collaborative research
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 3 months ago
23 Jan 2026 Job Information Organisation/Company Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung Research Field Environmental science Researcher Profile Recognised
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and others) Analysis of the experimental data, ideally connecting to our machine learning tools Presentation of scientific results on conferences and in publications Requirements PhD degree in physics
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/ Multi-Omics Data Integration Candidates with a strong background in bioinformatics, computational biology or epigenomics. Desirable experience includes single-cell and spatial omics analysis (scRNA-seq
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
for the sustainable management of selected marine ecosystems. Your Profile A PhD in marine biology, conservation biology, fishery management & conservation, or related fields A strong background in handling large data
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discussions and team meetings Taking over project responsibility Collaborating closely within an interdisciplinary research team sincere interest in analysis of large scale data - we can provide guidance Your