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The Institute for Energy Systems at the School of Engineering of the University of Edinburgh is looking for enthusiastic, self-motivated applicants for an exciting PhD position that will research and develop advanced cryogenic power electronics solutions for key net-zero applications such as...
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management, computer science, information management and beyond. Supervisors Primary supervisor: Professor Tom Jackson Secondary supervisor: Professor Ian Hodgkinson Entry requirements At least a 2:1 honours
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mechanisms and transformer models. Qualifications Bachelor’s degree with First Class Honours (or equivalent) and/or a research master’s degree in computer science, AI or Computer Vision; or an equivalent
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MBL is among the world’s highest ranked scientific research organisations aimed to explore the secrets of life. EMBL integrates 28 member states and employs close to 1800 people across its six research sites in Barcelona, Cambridge (Hinxton), Grenoble, Hamburg, Heidelberg, and Rome. Its...
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) engineering, computer science, or a related field You have very good knowledge of energy technology, energy economics, and energy policy You have already gained initial experience in energy system modeling You
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degree in statistics, computer science, data science or computational biology. Ideally, the applicant would have a background in both biology/biomedical sciences and statistics/data science. Applicants
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Mechanical, Production, Materials, Industrial or Robotics Engineering, Computer Science, or related discipline, or a similar degree with an equivalent academic level. Application procedure To apply, please
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of full-time study. Eligibility: The candidate should have a good 2.1 Bachelor's, or Master's degree in Electrical Engineering, Computer Science, Physical Sciences or equivalent. Experience in one
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(one) To be eligible for this scholarship, you must: Have a first-class Honours degree (or equivalent) in a relevant discipline (e.g., information science, sociology, digital humanities, computer science
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publications Desirable Familiarity with containerisation (e.g., Docker or Singularity) of informatic pipelines/workflows Experience in multiple omics methodologies Understanding of the application of statistical