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good analytical and communication skills. Programming skills (MATLAB, Python, or LabVIEW) are a plus. We strongly encourage applications from candidates of all backgrounds. Enthusiasm and potential
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of testicular tissue Validate gene expression at the protein level via IHC and Western blotting Analyze large-scale transcriptomic data (R, Python) Test allele-specific regulatory activity using luciferase
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and scalable pipelines (e.g., using Snakemake, Nextflow, or custom scripts). Automate common data processing workflows in bash, R, or Python. Maintain version control using GitHub and contribute
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of X-ray methods Knowledge of X-ray optics Knowledge of synchrotron science Knowledge of catalysis and energy storage Experience with programming languages (ideally Python), SPS controls system Fluent in
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with shallow water equations). Python coding for workflow control, data pre- and post-processing as well as model calibration and validation. High-performance computing (HPC) for running test cases and
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, or cybersecurity Ability to develop prototypes in Python (e.g. with PyTorch, LangChain or similar frameworks) Familiarity with LLM prompting, RAG pipelines, or goal-driven agentic workflows is a plus Excellent
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successful courses or projects) Be proficient in programming (preferably in Python ot Matlab). Ideally familiar with machine/deep learning, signal processing, dynamical system or mathematical modelling To find
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learning techniques and experience with coding in Python is beneficial (but not a strong requirement) Applicants whose mother tongue is not English must meet any one or a combination of the following: A
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Matlab, Python and C/C++ are preferred. Strong interpersonal skills and the capacity to work and learn independently will be required. English Language IELTS 6.0 Overall (with no individual component below
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MATLAB/Python/R etc Previous research experience with healthcare datasets or electronic health records English Language IELTS 6.5 Overall (with no individual component below 6.5) or Swansea University