16 algorithm-development-"The-University-of-Edinburgh" Fellowship positions at KINGS COLLEGE LONDON
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for this role. This role will involve developing and applying analysis plans using a variety of advanced methods with the support of project supervisors. The postholder will have completed a PhD in a relevant
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bioinformatics Previous experience with AI and/or machine learning approaches Interest in reproductive health and/or development of clinical tools and algorithms Downloading a copy of our Job Description Full
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an a fixed term contract until 14th September 2026 (with potential to extend and develop a PhD depending on funding and progress) Research staff at King’s are entitled to at least 10 days per year (pro
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. Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers , applies
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development. This entitlement, from the Concordat to Support the Career Development of Researchers , applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP
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of genome organisation and metabolic control - with the bold vision of building synthetic life. In this role, you will develop and apply deep learning methods to analyse single-cell modalities, focusing
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expertise while gaining the skills you need to achieve your long-term career aspirations through continuous personal development. About the role: Depression affects millions of people worldwide and presents a
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London and contribute to the development of a first-in-human immune priming platform trial in breast cancer. The post holder will be report into Professor Sheeba Irshad and will be based at Guy’s Cancer
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& Medicine at King’s College London. Reporting to the Director of the HAB and working in close partnership with the Spatial Biology Facility, you will lead the development and optimisation of high-resolution
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the Spatial Biology Facility, you will lead the development and optimisation of high-resolution spatial biology and multi-omics data analysis pipelines. Your primary focus (80% of your time) will be on leading