642 parallel-computing-numerical-methods-"DTU" Fellowship positions in United Kingdom
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research in ship hydrodynamics, design optimisation, and marine decarbonisation. Our work combines advanced simulation, AI, and experimental methods to support a more sustainable maritime future. The Role
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or equivalent experience in an appropriate discipline A background in numerical ice-sheet, glacier or fracture modelling, or equivalent experience Robust experience with computer coding (e.g., Python, C++) Track
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and the development of innovative design concepts, maximizing material properties and sustainable manufacturing methods. Qualifications: Strong background in aircraft design. Proficiency in Python
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for evidence. You will work across a range of projects utilising quantitative and qualitative methods. Depending on the skills of the appointee this may include health economics. You will have experience in
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to demonstrate sufficient knowledge in the discipline and of research methods and techniques to work within established research programmes. The successful applicant will be able to present information on research
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demonstrable experience in analysing datasets such as infectious disease surveillance, applying statistical methods, and interpreting output. Further particulars are included in the job description. The post is
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oncology grouping sees close to 550 new cases of these cancers a year. There is a large active clinical trials programme that spans phase 1 to phase 3. These patients have a poor prognosis, and this clinic
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A Research Fellow position is available in the group of Professor M. J. Rosseinsky OBE FRS to work in a team of computer scientists and materials chemists funded by the AlChemy. AI in Chemistry Hub
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students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration
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A Research Fellow position is available in the group of Professor M. J. Rosseinsky OBE FRS to work in a team of computer scientists and materials chemists funded by the AlChemy. AI in Chemistry Hub