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» Health sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Oct 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full
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8 Sep 2026 Job Information Organisation/Company University Hospital Jena Department MSCA DN MenoBrain Research Field Biological sciences Researcher Profile First Stage Researcher (R1) Positions PhD
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Max Planck Institute for Solid State Research, Stuttgart | Stuttgart, Baden W rttemberg | Germany | about 1 month ago
modern, structured doctoral program in English with a tailored curriculum . Fully funded positions plus additional funding for scientific meetings and trainings (no tuition fees). Individual supervision
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their theses in English. Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application periods Our programme recruits PhD students via two calls per
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-Associated Diseases (CECAD), the University Hospital and the Max Planck Institutes for Biology of Ageing and for Metabolism Research. We offer up to 12 fully funded PhD positions to highly motivated and
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At Heidelberg University, Department of Geography, Physical Geography Division, the following position is to be filled: Research Associate / PhD Student (f/m/d) Pay Group 13 TV-L, 75% The position
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a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Application deadline: 23. August 2026. The PhD position is for 3,5 years with a possible
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This programme has no deadline listed. Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content Currently, there are no open positions. The CRC 392 — Integrated
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the Job related to staff position within a Research Infrastructure? No Offer Description Work group: DKTK partner site Munich - Department of Translational Oncology Area of research: PHD Thesis Starting
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on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design