92 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at King's College London
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Women's Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research scientists. Based across
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develop prediction models using regression-based and statistical learning approaches (e.g., regularised regression), with particular emphasis on longitudinal and dynamic prediction modelling that updates
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governing area of work, including Health & Safety and environmental sustainability. 4. Strong written, oral, and IT communication skills, with advanced computer use and strong interpersonal and
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learning, and research in partnership with NHS and faculties. Provide visible leadership and a compelling narrative, engaging the King’s community while driving productivity and efficiency in space use
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effective teaching and ability to engage and inspire students Commitment to student learning, supporting student welfare, and enhancing the student experience Excellent interpersonal and communication
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of practice pertaining to the conduct of clinical trials 4. Able to learn and work to SOPs and demonstrate a commitment to quality culture 5. Strong planning and organisational skills including
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of the regulations, guidance and codes of practice pertaining to the conduct of clinical trials 3. Able to learn and work to SOPs 4. Strong planning and organisational skills including the ability
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presenting results). Desirable criteria Wish to acquire knowledge and practical experience of nucleic acid analysis software (e.g. BLAST, Clustal Omega and primer design software). Capability in reviewing
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of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6. Desirable criteria The ability to learn new techniques and skills as required The ability
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. Excellent written and spoken communication skills, with a high standard of English, with the ability to learn quickly, and comprehend and disseminate complex information. 8. Experience of utilising