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Field
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dedicated researcher with a PhD in mathematics, electrical or mechanical engineering, computer science or a related field, and a strong methodological background in machine learning. The ideal candidate has
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12.08.2026, Academic staff The newly established Fundamentals of Programming Group at the Technical University of Munich (TUM) invites applications for - PhD students - Postdoctoral researchers Our
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neurometabolism This position will tackle fundamental questions in metabolism, work at the interface of clinical and basic science, and contribute to a research program with strong potential to reshape our
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of competitive funding. Your profile We seek a highly motivated and dedicated researcher with a PhD in mathematics, electrical or mechanical engineering, computer science or a related field, and a strong
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. About You You will have a PhD in computer science, engineering, mathematics, or similar, strong programming skills, and experience with a contemporary machine-learning framework such as PyTorch. You will
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initiation latency, movement speed, gait characteristics, postural control, motor variability, and other behavioural descriptors. ESSENTIAL REQUIREMENT PhD in machine learning, artificial intelligence
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, fluorescence microscopy, flow cytometry, and Western blotting (experience with a JESS is desirable) Computer proficiency in Microsoft Word, Excel, PowerPoint, GraphPad, Photoshop, SnapGene, etc Preferred
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established in-house computational pipelines. Interested candidates should hold a PhD, or be close to completing one, in molecular biology, gene regulation, biochemistry, genetics, genome biology or a related
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, ion irradiation, corrosion studies, advanced microscopy, and artificial-intelligence-enabled microstructural analysis to support the development and qualification of next-generation structural materials
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at the intersection of artificial intelligence and the liberal arts to shape the future of AI engagement in higher education. The appointment will be for two years. The ideal candidates will have a demonstrated