497 phd-position-in-data-modeling-"Prof"-"Prof" Postdoctoral positions in United Kingdom
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and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline * Extensive experience and expertise in analysing/ training models on biological or chemical
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on qualifications and relevant skills acquired and will also be determined by the funding available. About you You will hold a PhD/DPhil or be near completion of a PhD/DPhil in a related subject area and have
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is led by Professor Mauro Giacca and comprises over 65 clinical and non-clinical academic groups, hosting 400 personnel and 110 PhD students. Our community of world-renowned researchers and educators
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30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6. Further information We pride
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Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria A PhD in Humanities or Social Sciences
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(LiB’s). You will be responsible for: • Developing models and simulations of the electrode fabrication process, sensors, and actuators. • Developing a demonstrator of a soft sensing system that
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especially suitable for someone with strong formal reasoning and data analysis skills who is considering progression to a PhD or further postdoctoral research in AI ethics, social choice theory
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of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. *Please note that this is a PhD level role but candidates who have submitted
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. This will involve analyzing sequence data from bacterial isolates collected during a clinical trial combined and from large scale lab evolution experiments. The postholder will work as part of a large team
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly