643 parallel-computing-numerical-methods-"DTU" Fellowship positions in United Kingdom
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opportunity to use their initiative and creativity to identify areas for research, develop research methods and extend their research portfolio. This position requires extensive experience working with genetic
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range of experimental methods including experimental cognitive psychology, psychopharmacology, psychophysiology and neuroscience methods to better understand the aetiology and treatment of mood and
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. The Postdoctoral Research Fellow will: Conduct a programme of research towards achieving one or more these goals. This will include contributing to the design of experiments, growth of the necessary plant material
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We are seeking to appoint a 3-year Research Fellow within the School of Mathematical Sciences at the University of Southampton in the research programme “Mathematical Foundations of Intelligence
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research project on cardiovascular risk prediction for people with immune-mediated inflammatory disease. The successful candidate will use advanced risk prediction methods to develop prediction models
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contribute to an exciting programme of research involving cost-effectiveness modelling and preference elicitation work in the areas of diabetic medicine and dental care. As part of these projects
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, or energy storage or battery supply chains, or equivalent qualifications Background may be in quantitative, qualitative or mixed-methods research but should be able to effectively work across disciplines
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a leading Employee Assistance Program For more information check out our benefits page! Your new team - "The School of Agriculture, Food and Ecosystem Sciences" The School of Agriculture, Food and
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epilepticus. You will work in the group of academic neurologist and computer scientist Dr Gregory Scott, with a team of collaborators having expertise in translational neuroscience, clinical neurology, signal
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research project on cardiovascular risk prediction for people with immune-mediated inflammatory disease. The successful candidate will use advanced risk prediction methods to develop prediction models