368 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"I.E" Fellowship positions in United Kingdom
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for week commencing 23 February. Further details For more information and to apply online, please download the further details and click on the 'apply online' button above. In return we offer a generous
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The job information is shown below. Please click on the links to see full details. The Centre for Appearance Research (CAR) is looking to appoint a part time Research Fellow (0.6fte) to join a
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London School of Hygiene & Tropical Medicine; | London, England | United Kingdom | about 2 months ago
. Please provide one or more paragraphs addressing each criterion. The supporting statement is an essential part of the selection process and thus a failure to provide this information will mean that
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identify barriers to early diagnosis. To do this we will use a large United Kingdom general practice dataset, which is linked to cancer records. This contains information on almost 4000 people who have never
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Specification for full details of this role. For further information, contact Professor Ed Wilson at e.c.f.wilson@exeter.ac.uk . Closing date: 15th February 2026 Interviews: w/c 3rd March Join us and help shape
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Centre (NAPIC) - NAPIC) the Leeds Institute for Data Analytics Food Community (LIDA: Food | Leeds Institute for Data Analytics) and the Global Food and Environmental Institute (Global Food and Environment
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reduce computational load and improve adaptability in ISAC systems. ICS is the largest academic research institute in Europe specialising in all aspects of ICT (Information and Communication Technologies
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should also have an interest in data science, machine learning tools or artificial intelligence as applied to biological systems related to immune therapy of cancer. The postholder should be committed
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information about the role, please click on the ‘Apply’ button above. Informal enquiries about the role are welcomed and should be directed to Lucy Gager; Email: smutsmemorialfund@admin.cam.ac.uk If you have
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modelling, CFD mesh generation in complex 3D geometries. Proficient in handling large data sets and the ability to analysis and interpret results. Experience in commercial CFD package such as FDS and ANSYS