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Programme for Scientific Discovery (https://science.ai.cam.ac.uk/ ) is a high-profile University initiative promoting the use of machine learning to tackle major scientific challenges. Accelerate Science
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Fixed-term: The funds for this post are available for 2 years. Programming languages provide an interface for developing increasingly complex models in science. However, as computer models grow more
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manage resources efficiently. A degree in Computer Science, IT Management, or a related field - or equivalent practical experience - is essential. Desirable qualifications and experience include
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Integrative Toxicology Training Partnership (ITTP) is a national PhD training programme for capacity building in Toxicology and related disciplines. The safe development of new drugs, materials, chemicals and
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The Department of Engineering at the University of Cambridge is offering a Postdoctoral Researcher position to work on collaborative projects with Dr. Hong Ge at the Computational and Biological
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for candidates with a strong foundation in human physiology and metabolism, and a passion for impactful, translational science. Key Responsibilities: Research Design and Implementation: Plan and execute
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excellent competency in relevant programming languages, for example C, Python, or R. Experience with nanopore data is beneficial and will have excellent skills working in teams and communicating complex
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pipelines is essential. The candidate must have advanced knowledge of programming languages, including C#, JavaScript, SQL, and Blazor, along with strong problem-solving and debugging skills. Attention
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well as seeking to encourage higher gift levels from existing donors. You will support the implementation of our stewardship programme for all our low- and mid-level donors. You will also play a lead role in
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the Unit's Population Health Interventions Programme, the primary role of these posts is to refine the intervention, develop the protocol, secure governance approvals, recruit local authority participants