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Field
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language such as Python, MATLAB, R or NCL. Proven ability to work both independently and as part of a team. Experience of disseminating findings through scientific publications and conference presentations
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, preferably with clinical colleagues. Excellent programming skills (MATLAB or Python preferred). Proven track record of publishing research outputs. Apply Before: 01/05/2026, 23:59
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bacterial systems.* Solid understanding of next-generation sequencing and core bacterial processes (replication, transcription and translation).* Experience analysing large biological datasets using Python
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confident in handling the relevant data and be competent in programming on either MATLAB or Python. You will also be enthusiastic about building and troubleshooting your experimental rig. You will have the
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. Expertise in programming (Python) would be desirable. In terms of personal characteristics, we are seeking someone who is committed and enthusiastic, and who works well in teams. What we offer As
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machine learning. The work will require solid programming skills, especially in Python and Julia. We expect the candidates to have: MSc degree in physics, materials science, chemistry, mathematics
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simulation or programming tools such as MATLAB, Simulink, MATSim, AnyLogic, or Python. Applicants should also have a good knowledge of decarbonisation and sustainability principles in transport, energy systems
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interpreting Next Generation Sequencing (NGS) and genomic data. Experience with shell scripting (Bash), and at least one high-level programming language (Python or R) is essential. A sound knowledge of soil
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proficient in software development (e.g., using Java, Python, C++), with object-oriented programming and software engineering practices. You will have hands-on experience in designing, building, modifying
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and deploy advanced deep learning and foundation models for surgical scene understanding segmentation, tracking, and operator assistance. You will write, test, and optimise Python and C++ code for real