204 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"U.S" positions at King's College London in United Kingdom
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to maximise attendance and media coverage, while managing delegate registration systems and stakeholder databases. Alongside this, you will support in developing our stakeholder relations, building
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, evaluating and revising large-scale projects. Excellent time management and organisational skills. Able to manage own workload and prioritise tasks in a busy work environment, managing multiple work-streams
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the initial template for the nervous system, environmental experiences can create life-long changes in brain structure. We investigate how the brain forms during embryonic development and early life
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will often need to manage multiple requests and prioritise your workload, albeit we have adopted an Agile approach to development. This is a full time post (35 hours per week), and you will be offered
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development of a newepilepsy research project jointly run by King’s College London and Swansea University and funded by the Medical Research Council. The Research Fellow will be using Natural
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future development of an ongoing epilepsy research project funded by the UK Epilepsy Research Institute. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on
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to create and maintain networks with multiple stakeholders. Strong planning and project management skills. Analytical skills, using both quantitative and qualitative data to interpret insights and inform
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checks of mechanical and electrical assets, whilst managing their own workload and working alongside Technicians. The role is versatile, with multiple duties and responsibilities and carried out
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of these areas are well established, respected and recognised within and beyond the King’s community. The Centre also supports the educational and learning development of King’s staff and students. The successful
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, the development and fine-tuning of vision foundation models, multiple instance learning, survival analysis, and interpretable model development. You will also lead efforts in building multimodal deep learning