669 fully-funded-phd-program-computer-science-eth Postdoctoral positions in United Kingdom
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Development Concordat, and provides networking and development opportunities through the successful Prosper portal. You should have a PhD in Ocean Biogeochemistry or related discipline (Environmental Science or
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predicts battery performance and properties from fabrication line measurements. About you Hold (or be near completion of) a PhD/DPhil in Control Engineering or a related subject, with the possibility
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://www.aria.org.uk/opportunity-spaces/nature-computes-better/scaling-compute/ The objective of our project, funded within this programme, is to develop a scalable and modular simulation framework. At the lowest level
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Reporting to the Project Co-Lead, Professor Beth Greenhough, the post holder will be responsible for carrying out research contributing the social science dimensions of the three-year MRC funded
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Dr Edward Johns, as well as a larger team across the UK as part of the ARIA-funded Robot Dexterity programme (see: https://www.aria.org.uk/opportunity-spaces/smarter-robot-bodies/robot-dexterity
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The Role This scheme offers up to 6 months follow-on funding to EPSRC-funded research students after they have submitted their PhD. The EPSRC Postdoctoral Pathway scheme (formerly known as Doctoral
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline * Extensive experience and
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. Computer Science, Machine Learning, Robotics. A strong background in both robotics and/or machine learning, including experience conducting experiments on physical robots. Excellent programming skills are required
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encouraging of collaborative interactions between groups. Role Summary Applicants will have a PhD in Biochemistry, Protein Engineering, Structural Biology or Synthetic Biology, Molecular Plant Pathology
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Materials & Composites Laboratory: https://eng.ox.ac.uk/mmclab/) in the Department of Engineering Science at Oxford University. The post is funded by the ERC Proof-of-Concept (PoC) grant: RESILIENT and is