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04.03.2026, Academic staff The Professorship for Learning Analytics (LEAPS) at the TUM School of Social Sciences and Technology, Technical University of Munich, is seeking, within the DFG/ANR-funded
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letter, CV, diplomas/transcripts, etc.), which you can submit via our online-application-system: https://www.hzdr.de/db/Cms?pNid=490&pLang=en&pOid=76871
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techniques is advantageous Experience with histological techniques is advantageous Basic computer skills in Microsoft Office Ability to work independently and responsibly Motivated, careful, and team-oriented
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this position is located: https://www.fz-juelich.de/en/pgi/pgi-7/research-groups-1/ag-gunkel-1 Your Profile: Completed Master degree in Physics, Materials Sciences or Chemistry, with a good track record
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is located: https://www.fz-juelich.de/en/pgi/pgi-7/research-groups-1/ag-gunkel-1 Your Profile: Completed qualification to enroll for the Master thesis in Physics, Materials Sciences or Chemistry, with
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programme Biochemistry & Molecular Biology, and other relevant programmes at the University of Bayreuth. The ability to teach in English and German is expected. The general administrative requirements
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): https://go.fzj.de/JuDocs SUCCESSFUL START: It is important to us that you quickly settle into the team and are given structured training for your tasks. We also support you from the very beginning and
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learning, or reinforcement learning from human feedback - Ability to work independently and collaboratively in an interdisciplinary team of clinicians, computer scientists, and biologists - Excellent
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Assistance in the preparation and conduct of examinations Participation in organisational and administrative tasks (chair organisation) Where to apply Website https://stellenboerse.uni-mainz.de/jgu/job/54286
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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 PERSPECTIVE: The position is initially for a fixed term of 3