333 computer-programmer-"https:"-"Brookhaven-Lab"-"https:"-"https:"-"https:"-"Dr" Fellowship positions in United Kingdom
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- VIN UNIVERSITY
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/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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We are seeking a highly motivated and skilled Research Associate/Fellow to join an innovative translational research programme focused on childhood brain cancer. Based at the University
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, together with relevant experience • Possess sufficient specialist knowledge in the marketing discipline to work within established research programmes • Ability to manage own academic
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enhancement interventions and activities are numerous. This programme applies a broad interpretation of pedagogic research, including the influence of the wider aspects of the student experience on a student’s
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-intensive Universities? As a Research Fellow in Computational Climate Politics you will work on the UKRI FLF project “Understanding normative change to address the climate emergency ”. This is a 4+3 grant
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development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of sponsorship. Application Process
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the Project PI. ii. Meeting the deliverables by carrying out the computational simulations and experimental studies planned for under the scope of work of the projects within the timeframe to meet the
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to develop research programmes and methodologies. The successful applicant will also be able to work collaboratively, supervise the work of others and act as team leader as required. Applicants will be
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, Applied Mathematics, Physics, Acoustics, Computational Science or a closely related discipline. Strong experience in numerical/computational modelling (e.g., FEM/multiphysics, wave propagation
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to the planning and organising of the research programme and/or specific research project Co-ordinate own work with others to avoid conflict or duplication of effort Knowledge of the protected characteristics