443 computer-programmer-"FEMTO-ST"-"FEMTO-ST"-"FEMTO-ST" Postdoctoral positions in United Kingdom
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Field
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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development opportunities. • Lots of support for health and wellbeing including discounted membership for our state of the art sport and gym facilities and access to a 24-7 Employee Assistance Programme
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of agentic behaviour and publishing high-impact research. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background
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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
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networks. A key part of this role is related to developing research independence; there are opportunities to receive training and development in key technical skills (e.g., experimental and computational
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development opportunities. Lots of support for health and wellbeing including discounted membership for our state of the art sport and gym facilities and access to a 24-7 Employee Assistance Programme. On site
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supervisor), working with Dr David Watson (Department of Informatics). This position is funded by King’s Climate and Sustainability. The key responsibilities of the role are to develop machine learning
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team of Professor Holly Krieger and work on any aspect of algebraic, arithmetic or complex dynamics. The role holder will be expected to plan and manage their own research and administration, with
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, such as sedimentation, meltwater flow, and vegetation change, into active drivers of adaptive design. This interdisciplinary work combines advanced computational tools, including 4D point cloud modeling and
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Trust Career Development award funded research programme “Unlocking the RNA Helicase Code: From Structural Insights to Therapeutic Strategies” led by Dr. Jagtap. The overall project builds upon our novel