156 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at KINGS COLLEGE LONDON
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analytically. Knowledge, understanding and experience of the legal, regulatory, and statutory governance of clinical trials. Including GCP. Strong computer skills (proficient with MS word, Excel and web-based
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and codes of practice pertaining to the conduct of clinical trials Able to learn and work to SOPs Strong planning and organisational skills including the ability to prioritise, manage multiple tasks and
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to the conduct of clinical trials Able to learn and work to SOPs and demonstrate a commitment to quality culture Strong planning and organisational skills including the ability to prioritise, manage multiple tasks
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graduation. You will work with a range of university systems, including student record databases, virtual learning environments, and financial reporting tools, applying best practice to maintain data accuracy
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across the globe. The largest dental academic centre in the UK, they teach over 700 undergraduate students, 140 graduate taught students. About the role Part-time (minimum one day a week) clinical teachers
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high standard of English, with the ability to learn quickly, and comprehend and disseminate complex information. Experience of utilising the use of tools such as the Microsoft Power Platform to improve
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reporting on the FCDO funded CRADLE SMART programmes of research including: ensuring the high-quality delivery of research, donor reporting, contract compliance, monitoring, learning and evaluation
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this expertise to teach the next generation of health professionals and research scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research
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) for people with a learning disability and autistic people (the OptiCaT project). C(E)TRs were introduced in 2015 as a key intervention in ensuring that people with a learning disability or who are autistic
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proficiency in R or Python and version control systems like Git. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas). Proven ability to work independently. Track record