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Field
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for the provision of research support for the ARC project on risk assessment tools in psychiatry, and particularly in child and adolescent psychiatry. About You You will have or be close to completing a PhD/DPhil in
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of migration in cetaceans’. The post holder will provide guidance to less experienced members of the research group, including research assistants, technicians, and PhD and project students. The post holder will
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primarily on structural analysis of protein complexes and will best suit a candidate with a PhD and relevant experience in protein biochemistry and structural biology, specifically cryo-EM/ET. The second post
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July 2025 until 31 October 2026 with 3 months¿ probation time. This role is eligible for sponsorship under the skilled worker route. If you are still awaiting your PhD to be awarded you will be appointed
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. The salary for this post is at Grade UE07: £40,497 to £48,149 per annum, pro-rata if part-time. Your skills and attributes for success: PhD (or near completion) in a relevant field. Strong coding skills in
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have prior experience in bioinformatic analysis as described in the job description. The post holder provides guidance to junior members of the research group including research assistants, PhD students
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, and market and protocol design. The postholder should hold a relevant PhD/DPhil or be near completion in one of the following: Economics, Finance, Operations Research, Statistics, Econometrics
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applications to external bodies. Applicants will possess a relevant PhD or an equivalent qualification/experience in a related field of study and be able to demonstrate sufficient knowledge in the discipline and
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PhD in Inorganic or Materials Chemistry or a relevant subject area, (or be close to completion) prior to taking up the appointment. The research requires experience in synthetic inorganic/materials
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for candidates to have the following skills and experience: Essential criteria PhD or equivalent experience in relevant area. Knowledge or interest in Natural Language Processing, ideally as applied to big