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Field
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for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets
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will be educated to PhD level with relevant experience in molecular plant biology and evolution and will work closely with other group members to assist them with gene functional characterisation
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especially suitable for someone with strong formal reasoning and data analysis skills who is considering progression to a PhD or further postdoctoral research in AI ethics, social choice theory
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post by January 2026. The Requirements Essential: 1. Qualifications · A good first degree in physics. · A PhD (or be close to submission) in atomic physics or a closely related area
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your personality: Doctorate/PhD in computer science with excellent grades. Diploma, Master's, or Magister degree in computer science, or medical informatics (or equivalent, with solid knowledge in
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dynamics and (at intermediate redshifts) strong gravitational lensing, thus preserving and extending the team’s lead in this field. Applicants should have a PhD (or close to completion) in (Astro) physics
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laboratory notebooks, data analysis & interpretation and report writing Assist in recruiting participants from educational organisations You should have: PhD or near completion of a doctoral degree in a
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cutting-edge research at the intersection of RL and LLMs. You will also design and run experiments to improve LLM efficiency and sustainability. You will hold a relevant PhD/DPhil or be near completion
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civil society. Upholding best practice in research conduct, ethics, and data management. Person Specification You will hold (or be very close to completing) a PhD in a relevant field such as sound studies
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dynamics and (at intermediate redshifts) strong gravitational lensing, thus preserving and extending the team’s lead in this field. Applicants should have a PhD (or close to completion) in (Astro) physics