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PhD in Aneuploidy in Mammalian Embryos / Clinical Veterinary Embryologist Faculty: Faculty of Veterinary Medicine Department: Department Clinical Sciences Hours per week: 36 to 40 Application
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Contact persons Research Back Research infrastructure Back Digital Humanities Center LISA+ Quantitative Biology Center (QBiC) Tübingen Structural Microscopy (TSM) Research Data Management (RDM) Core
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optical sensing techniques. Minimum Qualifications: • Ph.D. in Physics, Materials Science, Electrical Engineering, or a related field by the start date. Preferred Qualifications: • Hands-on experience in
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Biomedical Engineering conducts leading research in image analysis, computer vision, and machine learning, with a growing emphasis on generative AI and AI for scientific discovery. Our mission is to develop
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for cardiovascular applications. You will build on our group’s expertise on Physics-Informed Machine Learning (PIML), a powerful approach that combines data-driven AI with the rigour of physical and physiological
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cross-layer defenses that ensure secure and efficient AI model development at scale. Information about the division The department of Computer Science and Engineering is strongly international, with
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biology: How do epigenetic features contribute to the regulation of the genome? We study how chromatin drives specificity for regulating gene expression. You will be dissecting the molecular features
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Department/Location: Department of Engineering, Central Cambridge A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on experimental investigations
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Role type: Part-time (0.2 FTE); Fixed-term for 6 months Faculty: Faculty of Medicine, Dentistry and Health Sciences Department/School: Centre for Youth Mental Health Salary: Level A - $85,555 to
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You will be collecting, analysing, and presenting data throughout the study informing the intervention and app and contributing directly to the education/instructional videos contained within them