14 parallel-computing-numerical-methods-"Prof" Postdoctoral research jobs at Heidelberg University in Germany
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invasive sensing tools to monitor metabolites, oxygen, carbon dioxide, pH, and other parameters. Ideally, the methods can function in parallel and on a large scale. The research is vital to understand key
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available in the Division of Proteomics of Stem Cells and cancer, headed by Prof. Jeroen Krijgsveld. Our division develops innovative proteomic approaches to understand proteome regulation in cancer, both in
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invasive sensing tools to monitor metabolites, oxygen, carbon dioxide, pH, and other parameters. Ideally, the methods can function in parallel and on a large scale. The research is vital to understand key
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or related fields Expertise in advanced neurofunctional assessments and methods (e.g., computer vision, bioacoustics, machine learning/AI, neuroimaging, eye-tracking, multimodal data fusion) Excellent
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of in vitro and in vivo pre-clinical models, including hiPSC-derived systems The postdoctoral project will combine experimental (wet-lab) and computational (dry lab) approaches Be part of Geman Center
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, molecular biotechnology and computational sciences. The modern Campus harbors the buildings of the science faculties and institutes, in direct vicinity to the University Hospital Heidelberg, the Max Planck
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possible date at the KlausTschira Institute for Integrative Computational Cardiology to join our interdisciplinary project at the forefront of RNA biology and sequencing technology. Project Overview
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regarding the position, please contact Prof. Dr. Renata Motta via hcias-jobs@uni-heidelberg.de . Further information on the HCIAS can be found at www.hcias.uni-heidelberg.de/en . We look forward to receiving
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The research group of Prof. Dr. Michael Mastalerz at the Institute of Organic Chemistry, Heidelberg University is seeking the following temporary full-time position from November 1st 2025 or later
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users: provide project consultation, training and hands-on support, schedule and prioritize measurements, and ensure timely data delivery Drive method development for single-cell MSI and integration with