701 parallel-and-distributed-computing-phd Fellowship research jobs in United Kingdom
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for success: A PhD awarded in a relevant discipline (e.g. law, social sciences, history, science and technology studies, empirical bioethics or other relevant fields engaging with qualitative research and law
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helping to write publications, present at conferences and regular team meetings Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline
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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 as appropriate Undertake management
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will need good communication skills, and will be able to work with and disseminate information to both academic and non-academic audiences. You will have a PhD in medical or bio-informatics, epidemiology
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enquires about the project can be made to Dr Richard Meek (r.w.meek@soton.ac.uk ) About You You will have or be near completion of a PhD in biology, chemistry or related discipline, where you have gained
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stimulating academic environment. A successful applicant is expected to be either a postgraduate student, probably in the latter stages of research leading to a PhD degree (or equivalent), or a post-doctoral
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deployment in cloud using the latest approaches to the containisation and orchestration Essential Criteria Grade 7 Qualifications Honours Degree and PhD in an appropriate discipline such as Earth observation
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. You would be the day-to-day supervisor for two PhD students on this levitated microdiamond project, as well as helping to supervise undergraduate project students. Applications from underrepresented
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make presentations at conferences and other events. Applicants will possess a relevant PhD or equivalent qualification/experience in a related field. The successful applicant will be a nationally
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postgraduate degree, ideally a PhD, in statistics, machine learning, or a related field. Experience of developing new statistical methods and a strong working knowledge of a statistical software package, such as