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bioinformatics, systems biology, synthetic biology, biotechnology or related disciplines. Knowledge in automated workflows for (large) data analysis, using Galaxy or similar tools. Experience in the automated
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 13 days ago
-peter-lab-index.html Your tasks Building large scale foundation models Applying and further developing single cell segmentation methods Supervising a small team of PhD and MSc students Developing new
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 9 days ago
scientific organisation. Where to apply E-mail personal@awi.de Website https://recruitingapp-5442.de.umantis.com/Vacancies/2124/Description/2?lang=eng Requirements Additional Information Website for additional
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states and the federal government of Germany. Do not overlook the inclusion of Academic Europe in your application. Where to apply Website https://www.academiceurope.com/ads/6-phd-positions-tv-l-e13-4
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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 | Oldenburg Oldenburg, Niedersachsen | Germany | 13 days 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
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datasets, such as large-scale data, text as data, or satellite imagery (‘Big Data Economics’). The ifo Institute is one of Europe’s leading economic research institutes. Research at ifo combines academic
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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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, Molecular Medicine or a related discipline a high interest in immunological research questions profound experience with Drosophila work experience with large biological datasets and omics data, ideally (scRNA