736 parallel-and-distributed-computing-phd-"Meta"-"Meta" Fellowship positions in United Kingdom
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are to study the development and plasticity of brain macrophages. The Opportunity: This post is full-time (35 hours per week). Your skills and attributes for success: PhD or equivalent professional qualification
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quantifying antimicrobial sensitivity plus the use of in vitro virulence factor bioassays. Candidates must hold a PhD (or close to completion) in Microbiology or relevant subject area. This full-time (36.25
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for a fixed term up to end of June 2028, ideally starting in September 2025. The position comes with an allowance to cover international travel and computing. Role Summary We are seeking to appoint
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responsibilities will include: Develop Diagnostic Assays: Plan and execute laboratory and computation processes to create and optimise diagnostic tools for infectious diseases. Conduct Molecular Research: Utilise
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, the flagship programme of the Newcastle Health Research Partnership. In addition to the Newcastle PSRC, the postholder will have an academic home at the Newcastle University Population Health Sciences Institute
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skills and attributes for success: A PhD (or equivalent) in a relevant subject (Artificial Intelligence, or Data Science), with training or skills relevant to the project (Python-based data collection and
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for implementing the model as a computer simulation and analysing it within a health-economics framework using standard computational techniques. The post-holder will also be responsible for writing up the findings
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and translation. You will be based in the School of Electronics and Computer Science (ECS), working alongside an interdisciplinary team led by Dr. Shelly Vishwakarma (s.vishwakarma@soton.ac.uk), in
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of disseminating research findings (e.g., through journal publications and conferences). Have a PhD in Psychology or a related discipline (the PhD thesis must be submitted prior to starting the position). What we
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its future and associated space-weather hazard over the next 20 years. You will have a PhD (or close to completion) in geophysics, physics, applied mathematics or similar highly numerical discipline