43 algorithm-phd-"Prof"-"Washington-University-in-St"-"Prof" PhD positions at Nature Careers in Germany
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The quantum technology group at the University of Rostock is presently looking for a new PhD student (m/f/d) to join our team. The person hired shall spearhead a line of research aiming to turn
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group focuses on developing strategies and algorithms to quantity biologic effects of particle radiation based on underlying physics, biology and physiology. Within the BMFTR funded project “BIOMICRO
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Cancer Consortium (DKTK). For the DKTK partner site Munich, we are seeking for the next possible date a PhD Student in Mutational Processes Driving Somatic Evolution Reference number: 2025-0224 From
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2025. We invite applications for 9 PhD positions for 3 years. In total there will be about 25 doctoral researchers who will conduct soft matter research combining fields as diverse as physical chemistry
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across a broad spectrum of sciences. The Faculty of Medicine, Institute of Pharmacology, research group of Prof. Dr. Thomas Worzfeld, is currently accepting applications for a PhD in Kidney Plasticity
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across a broad spectrum of sciences. The Faculty of Medicine, Institute of Pharmacology, research group of Prof. Dr. Thomas Worzfeld, is currently accepting applications for a PhD in Neuroepithelial
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PhD Student (gn*) Job Id: 11029 Limited to 3 years | Part-Time with 65% | Salary according to TV-L E13 | Institute of Molecular Tumor Biology We are UKM. We have a clear social mission and, with
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and written); German is a plus but not required Team spirit, communication skills, and scientific curiosity Prior experience with transcriptomics and/or reproductive biology WE OFFER: A full 3-year PhD
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PhD Position - Neuroinflammation & Glial Biology (f/m/d) Hertie Institute for Clinical Brain Research, Neuron-Glia Interactions Lab, index number 6604 Part-time: 65 % Limited: 3 years Start of work
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image