198 programming-"https:"-"https:"-"https:"-"C.N.R" Postdoctoral positions in United Kingdom
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. green capitalism) and reframe how we imagine the futures of biodiversity in the Anthropocene. Key responsibilities include: To plan, coordinate and undertake a research project that focuses on one aspect
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thrusts within the lab’s multi-agent security programme. You should possess a completed PhD/DPhil (or thesis submitted by the start date) in Computer Science, Machine Learning, AI, Security, Robotics
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analysis skills, using statistical programming packages such as R, as well as excellent communication skills. This is a full time, fixed term post (part time considered) for 3 years. The closing date
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or statistical genetics. You must have strong quantitative analysis skills, using statistical programming packages such as R, as well as excellent communication skills. This is a full time, fixed term post (part
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programme focused on applying AI‑driven analysis to in situ advanced microscopy of fibre‑based materials. The project aims to develop and deploy machine learning tools that extract real‑time structural and
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literacy and managing online behaviours over the past two decades. We are looking for an individual who is interested in carrying out the project’s research programme under the supervision of Dr Ekaterina
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us. We seek an outstanding postdoctoral fellow to join the group of Dr. Tom Deegan at the MRC Human Genetics Unit, within a programme aimed at understanding molecular mechanisms of eukaryotic
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independent scholarship and engagement with public policy and international institutions is highly desirable. They postholder will contribute to the strategic development of the Initiative’s research programme
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three-year full-time position funded by the EPSRC project INDIMO: Invariant Discovery and Monitoring for Message-Passing Programs, starting around March 2026 (flexible start date). The successful
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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme focused on understanding and preventing disease progression in