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of Civilizations and Forms of Knowledge - Duration 12 months - Expiration date august 24, 2026 Where to apply Website http://www.unipi.it Requirements Additional Information Eligibility criteria Eligible destination
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of human disease, particularly neurodevelopmental disorders, including data analysis, image processing, literature research, and composition. They will handle transgenic mouse models, maintain colonies
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for recruitment positions for general criteria for the position. Preferred selection criteria Experience with computer vision, video analysis, self-supervised learning, vision transformers, or multimodal learning
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. Responsibilities may also include participation in clinical site visits, committee work, student remediation, test writing and analysis, program admissions, accreditation processes and program assessment to include
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evaluation. Responsibilities may also include participation in clinical site visits, scholarly project committee work, student remediation, test writing and analysis, program admissions, accreditation
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to the analysis and integration of complex clinical datasets derived from the OxAMI cohort and related studies. About you The successful Clinical Research Fellow must hold a primary medical degree and GMC
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for the processing and analysis of neural and behavioral data. Responsibilities Major responsibilities will include building custom workflows that integrate code from publicly available repositories, and the
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. This individual will be responsible for all aspects of their project, from project design in collaboration with Prof. Giedroc, to execution of experiments, and analysis of all data acquired. The successful
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or expand include: metabolism (spatial-biology, metabolomics, metabolic flux analysis, and artificial intelligence), structural biochemistry (macromolecular structure using cryo-EM, X-ray crystallography, and
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written and spoken English. Meriting criteria are: experience with latent variable models or closely related statistical models; experience with change-point methods, text analysis, or scalable statistical