137 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at University of Bristol
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supportive environment. The lectureship programme will provide up to four years WTE post-doctoral training or until CCT is reached, to allow the successful applicant to consolidate their career, develop
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Butts’machine learning sub-group. Supporting the development of grant funding applications around machine learning for structure elucidation. You hold a PhD (or are in final stages of preparing to submit for a
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volcanic environments. Development and flight testing will run in parallel with field campaigns at three key volcanic sites: Soufrière Hills Volcano (Montserrat), Fuego (Guatemala), and Lascar (Chile
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having completed a PhD programme in the last 12 months) to participate in a fixed-term set of projects linked to prostate cancer health services research, with the ultimate aim of strengthening your track
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The role holder will conduct research into the development of biobased composite materials based on nanocellulose fibres and polymeric resins derived from lignin. The programme of work is in
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examinations. Preparing exam rooms and distributing and collecting exam papers. You will be required to support both paper based and computer based examination processes. Adhering to the Universities policies
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or Associate Professor contingent upon skills, qualifications, and experience. Deliver an ambitious, internationally leading research portfolio. Develop portfolios of funding to resource your research programme
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consortium meetings and write reports and papers to communicate your findings. You have (or will soon be awarded) a PhD in bacterial genomics/bioinformatics or a related computational subject and would ideally
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computations fluid dynamics; 2. Elucidate the link between ecology and migration using ecological niche modelling; and 3. Reconstruct evolutionary patterns in body shape and ecology through the Cenozoic
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or another scripting language of choice. The opportunity to gain experience in cryoEM. Candidates will have hands-on experience with quantitative computational approaches and a passion for biomolecular