210 image-processing-and-machine-learning-"RMIT-University" Postdoctoral positions in Germany
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- Technical University of Munich
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- Max Planck Institute for Dynamics and Self-Organization, Göttingen
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- ; Technical University of Denmark
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- Max Planck Institute of Biophysics, Frankfurt am Main
- University of Greifswald
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the faculties of medicine and computer science at TUM, as well as the Munich Center for Machine Learning (MCML). It is a great place for interdisciplinary research between medicine and data science. We
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. Furthermore, we develop advanced scattering methods and machine learning tools for data analysis. For more information, see www.soft-matter.uni-tuebingen.de Qualification and skills Candidates should have good
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machine learning methods in the context of biological systems Experience with programming (e.g., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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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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flow within cerebral aneurysms. Arterial geometries are derived from medical scans (e.g., CT) of real patients, which are suitably meshed and processed for numerical treatment using Lattice-Boltzmann
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literacy with at least basic programming skills (R, Python). Analytical mindset, with a keen interest in advancing proteomic methodologies Knowledge of cancer biology is an advantage We offer Cutting-edge
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engineering and chemistry to improve the safety of products and processes. At BAM we do research that matters. Our work covers a broad array of topics in the focus areas of energy, infrastructure, environment
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cutting-edge big/deep data analysis methods, including machine learning and artificial intelligence. The ideal candidate will therefore have a strong background in data science and in the application and
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timings) affect the metabolome and proteome of rapeseed seeds. Your findings will serve as molecular fingerprints to support Deep Learning models for hybrid development. Whom we are looking for: An early
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this research project, state-of-the-art techniques will be employed including multi-spectral imaging, methylome analyses, RNA-Seq at single-cell and bulk levels, cell culture as well as bioinformatics analyses