10 parallel-computing-numerical-methods-"DTU" Fellowship research jobs at The University of Southampton
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Do you have a PhD in HCI, Computer Science, or Related? Interested in innovating interactive technologies to help #makeNormalBetter for all? Excellent and committed researcher? Come join the
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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
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turbulence data, together with fine-scale profiles from standard Argo floats, to quantify rates of vertical and horizontal ocean mixing, and you will apply inverse methods to investigate the role
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Experience of using qualitative and quantitative research methods Proven ability to organise a range of high quality research activities to deadline and quality standards Experience of managing and undertaking
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demonstrating the impact of the LifeLab programme. A specific focus will be evaluating the young researcher training programme (YRTP), exploring its potential long-term impacts on young people's lives and
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a PhD in engineering or a related area. In particular experience in experimental methods for aerodynamics is essential. Good prior experience in wind tunnel testing is essential with experience in
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We are delighted to welcome applications for a Research Fellow post within the ESRC Connecting Generations programme to examine fuller working lives and care provision for individuals in later life
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involve expanding our work on Dual-Function Reagents (see Angew. Chem. Int. Ed. 2023, 62, e202218371). You will join a creative group focused on designing new reagents and methods in an exciting area in
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balance. We also offer a mentorship programme and the school runs a women-oriented network event on a bi-weekly basis. The University of Southampton is in the top 1% of world universities and the top 10
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and translation. You will be based in the School of Electronics and Computer Science (ECS), working alongside an interdisciplinary team led by Dr. Shelly Vishwakarma (s.vishwakarma@soton.ac.uk), in