18 algorithms-phd-"St"-"St" Fellowship positions at The University of Southampton in United Kingdom
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. The project seeks to develop mathematical models for allocation of critical resources during pandemics. Populating these instances with real-world data we would then develop novel algorithms to solve them
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inclusive research environment within the team and the wider university, while collaborating with national and international partners across the Missed Vital Sign programme. You will have a PhD (or equivalent
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junior researchers and students. Any other duties appropriate to the scope and grade of the post. Postdoctoral Fellows are expected to lead their own projects, collaborate on others, and guide PhD and
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electronics that can act as wearable doctors. This post is suitable for chemists or materials scientists with a PhD (awarded or imminent) in chemistry, materials science or a closely related discipline or
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) for further information about this position in advance of submitting your application. Applicants are required to have a PhD* or equivalent professional qualifications and experience in a relevant discipline
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applicants from diverse backgrounds who meet the following criteria: A PhD (or equivalent) in acoustics, mechanical engineering, physics, or a related field. Substantial and authoritative practical knowledge
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- trials within the industrial environments selected within the project. About you You will hold a PhD or equivalent and will already be demonstrating potential for research excellence in your postdoctoral
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laboratory. For informal enquiries about the project, please contact Prof Chris Holmes (christopher.holmes@soton.ac.uk ). To be successful you will have a PhD* (or equivalent professional qualifications and
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candidates will have a PhD or equivalent in a relevant discipline and experience in the development of machine/deep learning (ML/DL) methods for engineering and will use this experience in collaboration with
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through a relevant PhD, but may also have been achieved via other research experience, normally supported by a relevant postgraduate degree (e.g. MSc in Health Psychology, digital health or computer science