18 parallel-and-distributed-computing-phd Fellowship positions at KINGS COLLEGE LONDON
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and access appropriate training and professional growth. About the role We are delighted to invite applications for a PhD training fellowships at the Cicely Saunders Institute, King’s College London as
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funded programme - Improving Care for children with life-limiting Conditions: developing, adapting, impLementing and Evaluating interventions (ICICLE). These three-year PhD Training Fellowship awards will
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scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. About the role
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opportunity to join a multidisciplinary team of researchers, clinicians, and patient partners on a 5-year collaborative research programme funded by a Wellcome Mental Health Award, ‘When your body betrays you
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
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research programme at King’s, focussed on establishing a competitive research niche and positioning them to apply for intermediate-level post-doctoral fellowships to consolidate their careers, from Research
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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The Cutaneous Immunology Group, Skin Inflammation Genetics Group and Genomic Medicine at King’s College London. The internationally leading precision medicine inflammatory skin disease research programme includes
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extension. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area or equivalent
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following skills and experience: Essential criteria PhD qualified in relevant subject area or equivalent professional experience Familiarity and experience with NLP methods and especially LLMs, evidenced by