63 computational-physics-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at University of Newcastle
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., statistical modelling, Artificial Intelligence/Machine Learning) Experience in computational biology and bioinformatic analysis Proven ability to write detailed, technically accurate reports on complex research
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of the UK’s largest and most established science and engineering faculties, offering a wide range of undergraduate, postgraduate and doctoral programmes across its Schools of Computing, Engineering, Mathematics
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administrative tasks and other duties to support the educational programme • Identify and undertake a programme of professional development The Person (Essential) Knowledge, Skills and Experience • Evidence
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the Director of Education (DoE), Director of Student Recruitment (DoSR), Degree Programme Directors (DPDs), Board of Studies (BoS), Board of Examiners (BoE), Student Staff Committee and similar bodies in
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colleagues and taking responsibility for any resulting training or process development needs identified including development of Corrective and Preventative Action (CAPA) plans. To undertake such other
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, Planning and Landscape disciplines. You would be working closely with the Degree Programme Director as well as with a host of academic staff from across these three disciplines. The role provides
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of information theory to syntax and language processing. Thus, the role will involve syntax, diachronic linguistics, psycholinguistics and, to some extent, computational linguistics. Under the guidance of project
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industrial audiences Qualifications Undergraduate degree in computer science or related discipline and/or equivalent relevant industry experience Newcastle University is a global University where everyone is
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the NIHR School for Public Health Research (SPHR) academic research training and development programme. The post holder works across organisational and professional boundaries, strengthening capacity
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research team, as the COLO-SPEED Research Programme Administrator. The COLO-SPEED research programme is building the world’s largest platform for research in prevention and early diagnosis of bowel cancer