435 algorithm-development-"Multiple"-"Prof" "NTNU Norwegian University of Science and Technology" Postdoctoral positions in United Kingdom
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), Neha Potnis (Auburn), Courtney Leisner (Virginia Tech)) and Thomas Lahaye (Tübingen)) to investigate the effect of fluctuating temperatures on the outcome and evolution of plant-pathogen interactions. We
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aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits
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interdisciplinary research including experimental field trials, social research, and ecological monitoring across multiple sites. The post-holder will lead the project’s ecological research components and contribute
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Experience in devising and developing novel machine learning algorithms Hands on experience with ROS and physical robots Excellent mathematics skills, particularly in areas relevant to robotics and AI
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drug and disease research in multiple projects in the group. The candidate is expected to lead a drug development project and support other group projects. This will include lab experiments, analysing
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-disciplinary research environment Desirable criteria 1. Experience in devising and developing novel machine learning algorithms 2. Hands on experience with ROS and physical robots 3. Excellent
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states of matter, which are generally characterised by their long-range quantum entanglement, fractionalised excitations, and absence of ordinary magnetic order, using multiple experimental techniques
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Biology you will be performing laboratory experiments and data analysis to support drug and disease research in multiple projects in the group. The candidate is expected to lead a drug development project
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establish and validate microfluidic co-culture systems using human glomerular cells and benchmark these platforms against human kidney multi-omic and spatial datasets. These systems will be further developed
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This is an externally-funded PDRA position supporting the UKRI/NERC Seedcorn Funding project “Developing a framework of key predictors of antimicrobial resistance emergence and transmission in