913 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "P" "I.E" positions in Germany
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career goals 2 letters of reference Shortlisted candidates will be invited to interviews. Admission decisions will be announced by 10 April 2026. Where to apply Website https://job-boards.eu.greenhouse.io
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Related works: https://arxiv.org/pdf/2404.09932 (Relevante Abschnitte 2.2, 2.7, 3.1, 3.2) https://arxiv.org/pdf/2402.05162 https://arxiv.org/pdf/2406.14144 We value and promote the diversity of our
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-experience may be gained throughout the project. For deeper insights, please have a look at our institute website: https://www.fz-juelich.de/en/pgi/pgi-7 and the research group in which this position is
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part of the Forschungsverbund Berlin (https://www.fv-berlin.de/) and the Leibniz Association (https://www.leibniz-gemeinschaft.de ). You can find more details on the institute webpage: https://www.ikz
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technologies. Excellent command of the English language is required; German language skills are not required. Where to apply Website https://uol.de/job889en Requirements Research FieldComputer scienceEducation
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Degree PhD Systemic Neurosciences Course location München In cooperation with Find out about our network of collaborating research institutions at https://www.gsn.uni-muenchen.de/research/network
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Additional information on beginning, duration and mode of study The starting date of the PhD project is flexible. The initial funding period is usually three years. Find out more at https://www.bgc-jena.mpg.de
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Schiller University JenaCountryGermanyCityJenaPostal Code07743Geofield Contact State/Province Not US or Canada City Jena Website http://www.lakemeyer-lab.de Street Humboldtstr. 10 Postal Code 07743 STATUS
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information about our institute here: https://www.fz-juelich.de/en/ias/ias-8 Your Job: Develop 3D+t image reconstruction methods in a cell microscopy setting using image sequences as well as focus stacks
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genomic approaches Application of the modeling approaches in relevant downstream tasks Co-development of high-performance computing AI training codes for the first European Exascale Supercomputer JUPITER