525 computational-physics-superconductor Postdoctoral research jobs in United Kingdom
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) is a major £7.8m five-year research grant funded by the Engineering and Physical Sciences Research Council. Working across the Universities of Leeds, Lancaster and the Royal College of Art, INFUZE is
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, computational biology, physics or a related discipline, and have experience of agent-based and/or continuum modelling, analysis and simulation. You will have experience of programming in Python and C
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undergraduate and postgraduate programmes in Sociology, Criminology and Social Work. Further, we support the delivery of a faculty research methods programme as part of the collaborative NINEDTP and contribute
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self-motivated and committed postdoctoral research associate to join the Nolan Hearing Lab and work on a research programme funded by the Wellcome Trust. The overarching objective is to understand
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assessments. Competence in data analysis and databased management, including techniques relevant to longitudinal studies (e.g. mixed models, SEM, in R, Stata, MPlus, or other suitable programme) Proven ability
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(e.g. mixed models, SEM, in R, Stata, MPlus, or other suitable programme) Proven ability to report research findings with clarity and rigor, demonstrated through authorship of peer-reviewed publications
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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United Kingdom Application Deadline 7 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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About us The Social Computation and Representation Lab (SoCR Lab; www.socrlab.net) uses mathematical models and causal experimental designs to understand the fundamental rules behind human and AI