313 computer-programmer-"Multiple"-"Prof"-"U"-"O.P"-"Humboldt-Stiftung-Foundation" positions at KINGS COLLEGE LONDON
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and external partners Ability to manage a large and diverse turnover of bids and contracts and excellent organisation skills (managing team workload and remit, multiple competing priorities) Excellent
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how deviations from the normal plan may lead to disease. The Centre has a team of over 190 researchers and support staff and is part of the School of Neuroscience in the Institute of Psychiatry
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well with a technical team who deliver a comprehensive technical service across multiple locations The successful candidate will need to work independently when appropriate, possessing excellent planning
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units that are funded by the Horizon Europe Programme. The consortium team will develop an advanced Multi-Processor System on Chip prototype in FD-SOI 28nm CMOS technology that tightly integrates
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curation and implementation of processing software. This will require computational skills, good knowledge of programming languages such as MATLAB, and an ability to plan experiments, make and record
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portfolio to produce and update the necessary benefit reporting and programme documentation for internal and external stakeholders, evidencing demonstratable benefits and value for money, through leading
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from people with epilepsy across multiple NHS hospitals. They are expected to have some experience working with NLP in general and LLMs in particular. They will also help to further develop machine
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clinical trials across King’s Health Partners. You will support the design, analysis, and reporting of trials of healthcare technologies and contribute to a programme of methodological research aligned with
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. A proven ability or clear potential to attract research funding is also desirable. The successful candidate will be expected to lead a self-directed research programme, which will enhance
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with epilepsy across multiple NHS hospitals. They are expected to have some experience working with NLP in general and LLMs in particular. They will also help to further develop machine learning models