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Field
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advanced imaging to dissect the cellular signaling and regulatory networks that control photosymbiosis between cnidarian hosts and their microalgal symbionts. The Project - PhagoPhoRe This position is
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type 2 diabetes remodel the epigenome. Our work aims to identify disease-associated genes and epigenetic regulatory mechanisms, with a particular focus on miRNA-mediated control of metabolic adaptation
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adaptive systems that jointly optimize morphology and control for real-world physical interaction. Requirements Ph.D. in Computer Science or a related discipline. Strong background in Machine Learning
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aims at understanding how proteins fold, assemble and are scrutinized by the cellular quality control machinery. We are particularly interested in proteins of the immune system including immune receptors
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Fraunhofer IGD and the FBN team to safeguard an efficient collaboration and communication between behavioural biologists and computer scientists. The project is part of the KI-Tierwohl project (https://ki
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managing supercomputer resources Strong skills in algorithm development for large sparse matrices Excellency in programming GPU accelerators from all major vendors Very good command of written and spoken
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multidisciplinary environment, collaborating closely with accelerator, vacuum, and instrumentation experts to develop a state-of-the-art platform for material irradiation studies under well-controlled conditions for
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and simulation Prior experience with particle accelerators and/or FELs is highly desirable Familiarity with machine learning techniques is a plus but not necessary Excellent command of English is
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to collaborate with and visit our international research network (DE, IT, NL, PL, UK) Excellent command of English; knowledge of German is an advantage but not a requirement Independent, reliable, and committed
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quantitative, real-time multimodal mesoscopic and microscopic imaging. • Contribute to real-time software development for system control, data acquisition, multimodal image reconstruction, and quantitative