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human patient samples and cutting-edge AI-driven analyses Validate computational findings through functional laboratory experiments Develop and optimize protocols involving omics methods, immune cell
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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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performance of minor crops and improve cultivation techniques (led by the PostDoc at ZALF); (iii) develop low-tech pre-processing technologies; (iv) capture the value of minor crop food products into new
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improved patient outcomes Integration of findings into translational research, collaborating closely with clinicians, imaging specialists, and bioinformaticians to optimize interventional oncology treatments
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Job Advertisement 2025-06 23.07.2025 At the Leibniz Institute of Atmospheric Physics (IAP), a full-time position (40h/week) in the Department “Modelling of Atmospheric Processes” is available as
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 1 day ago
experience in protein isolation, digestion and fractionation using high pH chromatography, as well as in the operation and maintenance of mass spectrometry instruments (ideally Thermo). In addition
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experience in using machine learning methods will be beneficial Application Process Please submit the following documents as a single PDF file: Cover letter detailing research interests and career goals
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decisions and functional consequences in neurodevelopmental disorders and brain cancer. Your Role: Develop and optimize human organoid and assembloid models for studying neurodevelopmental disorders and brain
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performance of minor crops and improve cultivation techniques (led by the PostDoc at ZALF); (iii) develop low-tech pre-processing technologies; (iv) capture the value of minor crop food products into new
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learning paradigms as well as interactive data- and model exploration with domain knowledge towards optimal performance in real-world generalization scenarios. AqQua is a large-scale collaborative research