14 phd-rehabilitation-engineering-computer-science Postdoctoral research jobs at Heidelberg University in Germany
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) Background: The position is embedded in the collaborative research program “Precision Organoid Engineering for Multi-Organ Interaction Studies (POEM)”: www.uni-heidelberg.de/en/cctp-poem The POEM program aims
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of Cardiovascular Research (DZHK) and the collaborative research center CRC1550 "Molecular Circuits of Heart Disease". Your Profile PhD in molecular biology, epigenetics, cardiovascular science, computational biology
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aromatic nanobelts. Your profile: We are looking for experimentally skilled candidates, ideally experienced in multiple-step organic synthesis The candidate needs to have a PhD degree in Chemistry (with a
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, Computational Biology, or a related field Proven experience in large-scale omics data analysis, preferably spanning multiple omics domains (e.g. methylation profiling, DNA/RNA sequencing, proteomics, single-cell
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expertise and achieve optimal results. Your Profile A PhD in Bioinformatics, Computational Biology, or a related field. Proven experience in large-scale omics data analysis, preferably MS-based proteomics
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consortium partners Your Profile: Excellent PhD in electrical engineering, computer science, or a related field Proven track record of high-level research, demonstrated through peer-reviewed publications and
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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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) Background: The position is embedded in the collaborative research program “Precision Organoid Engineering for Multi-Organ Interaction Studies (POEM)”: www.uni-heidelberg.de/en/cctp-poem The POEM program aims
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the collaborative research program “Precision Organoid Engineering for Multi-Organ Interaction Studies (POEM)”: https://www.uni-heidelberg.de/en/cctp-poem The POEM program aims to generate reproducible, micrometer
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of methodologies, from in-depth behavioral assessments to computer vision, machine learning and neuroimaging techniques, we aim to uncover the complexites of neurodevelopmental disorders. Our