40 coding-"https:"-"https:"-"https:"-"https:"-"CSIC" Fellowship positions in United Kingdom
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- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Birmingham
- Durham University
- King's College London
- University of Nottingham
- University of Sussex;
- Ellison Institute of Technology
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF SURREY
- Francis Crick Institute
- Nottingham Trent University
- The Francis Crick Institute
- The University of Manchester;
- University of Bristol
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- University of Nottingham;
- University of Oxford
- University of Southampton;
- University of Stirling;
- University of Surrey
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synthesis and Genetic Isolation). Genetic Isolation A direct consequence of the universality of the genetic code is the possibility for genetic information to be transferred between evolutionarily distant
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can contribute to our multidisciplinary research programme. Candidates should demonstrate experience in at least one of the following areas: Developing, implementing, or adapting Python-based codes and
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literature reviews and research interviews Work with research nurses in participating sites to recruit patients to the study Play a key role in coding and analysing research data, including secondary analysis
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reproducing the stream's statistical properties. The role will involve: building a census of simulated streams with a variety of perturbations; comparing CPU and GPU codes for generating and perturbing streams
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software, ANSYS, with our in-house code. The major goal of this role is to develop major principles for effective use of friction dampers in rotating machinery aimed at restriction resonance regimes under
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a central part of everything we do. We also live by our Purpose and Values and our Staff Code of Conduct. At Durham we actively work towards providing an environment where our staff and students
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languages (python, JAVA script, C++) & deep learning Technical expertise (e.g., adapting/tweaking/debugging code) Ability to create online experiments, using online platforms such as Qualtrics Contribute
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can contribute to our multidisciplinary research programme. Candidates should demonstrate experience in at least one of the following areas: Developing, implementing, or adapting Python-based codes and
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, and coding skills (particularly in Python)* Experience handling and analysing large-scale biological datasets Track record of writing papers as evidenced by publications or submitted manuscripts in
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before October 2026) High level analytical capability and ability to manage analytical workflows using appropriate statistical software (preferably R/Stata), documenting code and ensuring reproducibility