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reduce the electricity demand from AI data centres and high-performance computing. The appointed Research Associate/Fellow will conduct computational studies of electronic transport and quantum phenomena
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. Perform high-throughput computation for accelerating materials discovery and generate datasets for materials informatics. Work with teams to refine the developed methods and workflows. Job Requirements: PhD
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. The Successful Candidate Will Exhibit research creativity, breadth and depth of knowledge, and the ability to produce high-quality work. Excellent written and oral communication skills. Ability to work in a team
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be contingent on funding and performance. The post is located within the Astrophysics Research Centre (ARC) of the School of Mathematics and Physics. The successful candidate will work on a project
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also work closely with the Principal Investigators to help supervise and train junior lab members and to ensure smooth functioning of an active research program. The candidate will have the opportunity
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biology with an extensive background in genomics Extensive skills in bioinformatics analysis including tools for displaying genomic features in web applications and experience in high performance computing
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dynamics, using an array of methods including natural language processing and experiments. This is a two-year position (one-year contract renewable based on performance). The primary criterion for acceptance
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will be based upon performance review, progress towards research goals, and continuation of funding. Purpose The Cambronne lab has a funded position for a highly motivated postdoctoral researcher with
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Research Group, University of Bristol, to develop high-performance SiC and GaN power electronics, with the associated high-speed sensing. You will be offered one of the following three salary grades
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description 1 (one) Research Fellowship for R&D Initiation (BII) for a MSc