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Postdoctoral Research Associate ( Job Number: 26000129) Department of Computer Science Grade 7: - £ 38,784 - £41,064 per annum Fixed Term - Full Time Contracted Hours per Week: 35 Closing Date : 11
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We are seeking to appoint a Postdoctoral Researcher in Neuroscience to play a central role in a Wellcome-funded translational research programme focused on understanding how immune mechanisms
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Requirements Bachelor’s degree or above in Electrical Engineering, Computer Engineering, or a related field from a recognised university. Strong programming skills in MATLAB/Simulink, Python, C/C++, or similar
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technology, education and training, surgical science, Health Policy, Design and Innovation for healthcare, Safety and Quality, and Antimicrobial Resistance (AMR). Key responsibilities in associated Hospital
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) project with The University of Oxford, the RSPB, and JNCC, funded by The Offshore Wind Evidence and Change programme (OWEC). How to apply You will be asked to submit a CV along with a Supporting Statement
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academics. The ideal candidate for this role will have a background in qualitative social science research, such as literature reviews, surveys, interviews, thematic analyses, researching and writing up case
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This post is part time (21 hours per week) and fixed term from 13th July 2026 until 4th May 2027. We have an exciting opportunity for a Research Assistant/Associate to work with Professor Jennifer Smith on the project “Discriminating Dialects: Mitigating Bias in Automatic Speech...
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models. The project has the potential to bring together ideas from several different areas: mathematics (polynomials, probability, complex dynamics systems), theoretical computer science (computational
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department in its field, running a globally competitive programme of research and teaching. The Kennedy Institute is a biomedical research centre uniquely bringing together discovery science and early-stage
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The post holder will join the Physical Oceanography and Palaeoclimate groups in the Department of Earth Sciences and perform numerical model data analysis relevant to two projects: MEZCAL and