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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
Job Code: 09/25 Job Offer from March 20, 2025 The Becker group at the Max Planck Institute of Molecular Physiology is looking for a computational post-doctoral candidate (m/f/d) - data science to
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Your Job: The research will be part of the recent ERC Starting Grant "Atomic Scale Quantum Sensing and Information with Molecular Nanostructures on a Scanning Probe Tip" (ERC-2024-StG, QuSINT). Our
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of a project with limited experimental data points? In addition, how would you combine various computational chemistry methods that can leverage data to enhance potency predictions? With your solution
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Immunology and Computational Biology Reference number: 2025-0105 We are deploying advanced in vitro and in vivo model systems, genetic perturbations and single cell technologies with spatial readouts to study
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an attractive drug target. The position is funded by an Emmy Noether DFG grant and aims to combine single-molecule localization methods and cell biology to decipher the stoichiometry and dynamics of plexin
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of these patients. The goal of this project is to combine cutting-edge multi-omics technology, data analytics, machine learning and clinical samples from the human eye to decipher new insights into disease mechanisms
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in chemistry, physics, materials science, chemical engineering or a related subject Desirable: • Experience in one (or more) of the following areas is beneficial: metal-organic frameworks; adsorption
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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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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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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