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Proteomics workflow. For more information: group.szbk.u-szeged.hu/sysbiol/horvath-peter-lab-index.html Your tasks Building large scale foundation models Applying and further developing single cell segmentation
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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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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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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month 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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on the true, astrophysical candidates is a computational needle in a haystack. To tackle these “big data” challenges, astronomers have begun to employ machine learning techniques. The application of machine
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differing spatial resolutions. Using catchment-scale ecological and water quality data, the project aims to assess how abiotic drivers, biotic interactions, and stochastic processes jointly shape species
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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | about 1 month ago
responsibilities: Perform data analysis of large-scale metagenomic datasets derived from both modern and ancient microbiome sources to test questions relating to microbiome evolution and ecological change through
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 1 month ago
, conservation biology, fishery management & conservation, or related fields A strong background in handling large data sets, programming (preferably in R), statistical analysis, modelling, and mapping Highly
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modelling (e.g., machine learning), experience in working with large data sets Good programming skills Excellent communication and interpersonal skills Very good command of English Experience in writing