756 parallel-and-distributed-computing-phd-"Meta"-"Meta" Fellowship positions in United Kingdom
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Stipendiary: 4 years fixed term Stipend: £32,428 (with a PhD) or £26,376 (without a PhD) The College invites applications for a stipendiary Junior Research Fellowship in specified areas
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applications from candidates who meet the following criteria: PhD (or about to complete) in relevant discipline e.g. Bio/Medical/Mechanical Engineering; a track record of developing validated computational
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of an adapted language enrichment programme. Due to funding restrictions, the successful candidate must be able to start the role before 30th Sept. This role is eligible for hybrid working with a
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relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given
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degree in computer science or a cognate discipline, and have completed a PhD on AI/ML, ideally with a focus on safety or security of ML models. Experience of carrying out both independent and collaborative
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of psychologists at Leeds Beckett University. The candidate will be located within Psychology in the School of Humanities and Social Sciences. You will have an undergraduate degree and PhD in psychology or in a
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obtaining, a PhD in computer science, engineering, mathematics, or a related physical sciences discipline, with research expertise in areas such as hardware-aware AI security, approximate computing, or secure
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collaboratively, and who values contributing to a supportive team environment. You will also help train and support researchers and PhD students in this role, so strong communication and mentoring skills will be a
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opportunity to join a multidisciplinary team of researchers, clinicians, and patient partners on a 5-year collaborative research programme funded by a Wellcome Mental Health Award, ‘When your body betrays you
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the Faculty to build their computational skills. As Senior Bioinformatician, you will be responsible for maintaining reproducible, scalable workflows and for liaising with wet-lab scientists, statisticians and