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to cutting-edge and unique supercomputing systems including Quantum Computers and the upcoming first Exascale computer in Europe Comprehensive training courses and individual opportunities for personal and
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
receive) a PhD in computer/data science with a keen interest in leveraging their computational expertise to address fundamental questions in biology and human health. The ideal candidate will possess
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an estimated excitation energy of only around 8 eV. Only recently has it been possible to excite this state directly with an optical laser. As part of the HiTHOR project based at the Helmholtz Institute Jena and
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-scale training of a foundational pelagic imaging model, which will be fine-tuned for species classification, trait extraction, and particulate organic carbon estimation. The model will allow to establish
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, computer-aided drug design or a related field. Track record of scientific innovation, as demonstrated by scientific publications, patents, relevant presentations, or software code. Demonstrated experience in
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, and image analysis tools and working on a computing cluster (HPC). Vivid Interest in interdisciplinary research, leading and working on projects with pathologists, medical experts, computer scientists
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marine lightscapes in the ISOLUME project. You will provide a detailed analysis and uncertainty assessment of remotely sensed estimates of turbidity and light attenuation from various ocean colour products
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motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service
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medical image data. Vivid Interest in interdisciplinary research, closely working together with pathologists, medical experts, computer scientists and other researchers. Independent and pro-active work
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application to the European mission of a Digital Twin Earth. ML research directions will include physics-aware machine learning, reasoning, uncertainty estimation, Explainable AI, Sparse Labels and