124 postdoctoral-image-processing-in-computer-science-"Prof" PhD positions at Nature Careers
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computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput
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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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interdisciplinary research team. We study tumor evolution and immune microenvironment adaptation by combining functional genomics, experimental model systems, patient samples, and computational biology (Brägelmann et
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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aspects of cheminformatics. The position is founded by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases ”, led by Prof
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interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline
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of the university hospitals in Germany. PhD Position – Virology and Infection Biology (m/f/d) The Institute of Virology, in the research group of Prof. Hendrik Streeck at the University Hospital Bonn (UKB), Faculty
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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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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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block within this process. You will be embedded both within an experimental and computational team, providing a unique atmosphere where there is expertise to develop the deep-learning models while having