154 phd-computer-science-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at King's College London
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funding for a new study aiming to advance race equity in health and social care structures. This bold research programme, titled Collective Action for Race Equity in Health and Social Care (CARE-HSC), aims
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failure and accelerating the development of novel interventions. Applicants must hold a PhD in a biological sciences discipline and demonstrate substantial experience working with animal models
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strengths in laboratory-based enquiry using molecular genetics, metagenomics, biochemistry, cell biology, bioinformatics and structural biology, with rich clinical resources in microbiology, virology
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affiliated with the Informatics Department in the Faculty of Natural, Mathematical and Engineering Sciences. This is a full time post (35 hours per week), and you will be offered a fixed term contract until 31
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, we are looking for candidates to have the following skills and experience: Essential criteria PhD level experience in a biomedical sciences subject Excellent written and verbal communication skills
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, Bayesian Statistics with a focus on nonparametric methods, Bayesian Computational Methods, Extreme Value Theory, Biostatistics, Probabilistic machine learning, Medical sciences and engineering applications
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Job id: 123429. Salary: £45,031 - £63,350 per annum including London Weighting Allowance. Posted: 26 August 2025. Closing date: 16 September 2025. Business unit: Social Science & Public Policy
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service delivery. In this role, you will build a research programme in an area of child and adolescent mental health, developing studies and applying methodologies that complement the department’s vibrant
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for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria 1. PhD degree in Engineering, Computer Science
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Job id: 125105. Salary: £45,031 inclusive of London Weighting Allowance. Posted: 11 September 2025. Closing date: 18 September 2025. Business unit: Faculty of Life Sciences & Medicine. Department