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detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or
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and facilities, including Durham's High-Performance Computer, Hamilton (15,616 CPU cores, 36TB RAM and 1.9PB disk space). As part of the Northern 8 cluster, members of Durham University can also submit
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and facilities, including Durham’s High-Performance Computer, Hamilton (15,616 CPU cores, 36TB RAM and 1.9PB disk space). As part of the Northern 8 cluster, members of Durham University can also submit
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activities; High level of written and oral communication skills; Very good written and spoken English; Computer skills; Ability to work in a team; What we offer: Work-life balance: Our employees enjoy flexible
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Durham, you will have access to state-of-the-art instrumentation and facilities, including Durham's High-Performance Computer, Hamilton (15,616 CPU cores, 36TB RAM and 1.9PB disk space). As part of
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these bioinformatic experiments. Access to a high-performance computer will be provided. The candidate must be capable of generating complex molecular compound models in silico and using current molecular dynamic
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computing, computer architecture, programming models and high performance computing. These are your qualifications: Must-haves: Completed doctoral/PhD studies in Computer Science or a closely related field
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science, or human-computer interaction. Programming skills needed to do data analysis (we mainly use Python) You can be interested either in theoretical methods development or applications, or a bit of both
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(PDRA) with experience of statistical analysis and/or modelling, computer programming and preferably some meteorology/climate background, to join our growing team. You will work directly on the NERC
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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