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degree in a relevant subject (physics, mathematics, engineering, computer science, or related subject) Proficiency in English (both oral and written). Knowledge in cryptography is desirable. Studentship
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Application Deadline 11 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 related to staff
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Type of Contract: Full time - Funding limited for 34 months The postdoctoral research fellow will support the delivery of a variety of critical research tasks to deliver the JUST-Systems programme
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data integration, including integration of cell-based data with imaging-based data. Experience with data science tools, analytics and programming languages (e.g. R, python) and HPC Excellent
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work. This is an exciting opportunity to work at the intersection of physical activity, sedentary behaviour, behavioural science, and implementation science, and to contribute to a research programme
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programming languages for research and/or an interest in learning new languages, is most welcome. You should have experience applying best practices in software engineering, such as version control, testing and
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economics, computer science, or a closely related quantitative field. A first-class or equivalent degree is strongly desirable. The candidate should have experience and programming proficiency in R and/or
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will have a background in computer/data science, and specifically have computer programming experience, working with programming languages such as Python or R, in order to develop and maintain data
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should be made online via the above ‘Apply’ button. Under programme name, select School of Sport Exercise and Health Sciences. Please quote the advertised reference number: SSEHS/SRLJ25 in your application
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Strong background in computational neuroscience and data analysis Proficiency in programming (e.g., Python, MATLAB, and similar languages) Experience with large-scale neural network simulations Experience