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Description Main tasks You will join the Institute of Medical Systems Biology and the bAIome Center for Biomedical AI ( baiome.org ) to complement our lively and enthusiastic team of machine
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the German Research Foundation (DFG), at the University of Tübingen. The project is led by Principal Investigators Prof. Dr. Michael Franke, Dr. Marlen Fröhlich (both Tübingen) and Prof. Dr. Manuel Bohn
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function and influence responses to anti-cancer therapies. To achieve this, we will apply cutting-edge technologies, including nanopore direct-RNA-seq. CRISPR pertubations in primary healthy and malignant
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identifying relevant treatments and their associated Health Resource Group (HRG) codes to link hospital care provided with NHS Reference Costs, as well as linking any primary care activity with Unit Costs of
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position of a PhD student (m/f/d) in the field of mountain forest management, 65%, available from January 2026 Your profile Completed master studies in the field of forest management, mountain ecology
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learning. Supervisor: Prof. Udo Bach, Department of Chemical and Biological Engineering. (Email: udo.bach@monash.edu ) Manipulating light at the nanoscale Supervisor: Dr Alison Funston, School of Chemistry
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of Tübingen. The project is led by Principal Investigators Dr. Marlen Fröhlich, Prof. Dr. Michael Franke (both Tübingen) and Prof. Dr. Manuel Bohn (Lüneburg). The successful candidate will support the project
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Assoc Prof Liton Kamruzzaman, Prof Hai Vu, Prof Graham Currie, Prof Eric Miller (University of Toronto), and Prof Roger Vickerman (University of Kent). Together, the team aims to: Define sustainable size
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employment: as soon as possible Duration of employment: 3 years Working time: 29 h 52 min (75 %) Application deadline: 2025-07-30 Code number: 326-25 Your main tasks Participation in the DFG-funded project
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or carried out their main activity (work, studies, etc.) in the country of the recruiting organisation for more than 12 months in the 36 months immediately before their recruitment date To apply online