856 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" positions in Germany
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data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ Qualification that is highly welcome in industry Further development of your personal strengths, e.g. via a
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settle into the team and are given structured training for your tasks. We also support you from the very beginning and make your start easier with our Welcome Days and Welcome Guide: https://go.fzj.de
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English. Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline No deadlines For details, see: https
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Carl von Ossietzky University of Oldenburg • | Oldenburg Oldenburg, Niedersachsen | Germany | about 21 hours ago
on research fields, such as Neurosensory Science and Systems (University of Oldenburg) https://uol.de/en/phd-neurosensory-science-2 Auditory Sciences: Physics and Engineering, Physiology and Therapy of Hearing
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collective agreement can be found on the BMI website (pay scale table on page 69 and following of the PDF download): https://go.fzj.de/bmi.tvoed In addition to exciting tasks and a collegial working
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https://jobs.dkfz.de/en/jobs/168327/postdoc-bioinformatics-computational-biolog… Requirements Additional Information Website for additional job details https://jobs.dkfz.de/en/jobs/168327/postdoc
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(franca.tosetti@gesis.org ). Interested? Please apply via our Online-application portal until 17.03.2026. Our reference number is: CSS-117 Where to apply Website https://gesis.jobs.personio.de/job/2546475?language
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research with the combined tools of immunology, microbiology, virology, cell biology and molecular biology. For more information, please see https://www.mhh.de/hbrs/zib MD/PhD Molecular Medicine
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and training provision within CAFE-BIO are available from the network website ( https://cafe-bio.org ) and the official EU page for the network ( https://cordis.europa.eu/project/id/101226762
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learning, physics-informed neural networks, graph neural networks, transformers, convolutional defiltering methods, etc.) for the integration in multi-physics simulation codes You will develop code for and