210 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" positions at BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING"
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; Microscopy; Extracellular; Matrix; Cells; Protein; Secretion; Adhesion; Cytometry; Virus; Infectivity; vectors; titer; reproducibility; adenovirus; plaque; transduction Eligibility citizenship Open to U.S
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Job Description Reporting to the Assistant Director of Upward Bound programs, the Project Advisor is responsible for assisting with the administration, implementation and continuation of the U.S
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molecule cellular accumulation and compiling a proteome-scale atlas of chemically tractable vulnerabilities. The project will accomplish this by 1) using high-throughput mass-spectrometry and machine
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: OUH - Cell and tissue dynamics (Bøe) Project description GENESIS is a newly established Life Science Convergence Environment that brings active matter physics, cell biology, and machine learning
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PREFERRED QUALIFICATIONS Experience with innovative teaching methods including problem-based learning (PBL), interactive large and small group presentations, and computer-based interactive teaching programs
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and data integration. While machine learning and computational approaches may be applied where appropriate, the core emphasis of the role is on population-level data analysis, interpretation, and
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physics, cell biology, and machine learning to address the fundamental processes guiding the earliest stages of mammalian embryo development. Early embryogenesis is a critical stage in which collective cell
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on an NIHR funded research project - Digital support for siblings of children with learning disabilities: Feasibility Randomised Controlled Trial of the serious game ‘Broodles’. This project examines
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Nancy and the long-standing experience in sophisticated computer simulation studies from Leipzig, promising unique prospects in advanced education of PhD students via research into this important field
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workflows Experience in quantitative data analysis and computational approaches; familiarity with machine learning or advanced statistal methods is advantageous Preferably experience with micro-CT imaging