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Scheduled Hours 40 Position Summary Collect neuroimaging data and perform innovative analyses on these and related data. Develop and implement computer algorithms for analyzing the data. Assume
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: 0493-25 We are seeking a Research Associate to join Lancaster Medical School and work on the “FeetSee” project funded through a project grant from the Next Generation EU Programme: Implementation
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that the solutions provided are correct. It will involve a mix of algorithm engineering and formal methods, alongside more traditional software engineering activities. This project involves developing software which
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formulation, which displays striking similarities to that used by the Computational Fluid Dynamics (CFD) community, has inspired the investigators to adopt conventional CFD algorithms in the novel context
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such as quantisation and sampling are often ignored during the verification of AI models. Yet, they are pervasive phenomena in any engineering application where digital compute platforms interact with
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, and use smart phone apps to collect passive and active data using a prospective observational cohort study design. We will use this data to develop and validate a personalised risk prediction algorithm
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for an Artificial Intelligence and Machine Learning (AI/ML) scientist to develop advanced computer vision workflows to support the identification of biomolecules in cryo-electron tomography (cryo-ET) image volumes
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cooperative, competitive, and mixed settings. Collaborative decision-making frameworks and decentralized learning algorithms. Adaptive, meta-learning, and context-aware strategies to enhance policy
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The Engreitz and Kundaje Labs are seeking a Computational Biologist / Project Manager (Biostatistician 2) to join the Department of Genetics to map the regulatory wiring of the human genome to discover genetic
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research across diverse basic and applied science and engineering domains. Responsibilities will include: ● Design, develop, and deploy ML/DL algorithms for domain science and engineering fields ● Support