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using python, MATLAB, etc. Ability to support organisation of webinars and remote and in person training activities Publications in Q1 journals on the above topics Please see the attached job description
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(Kubernetes), serverless computing, and REST API development. Proficient in Python, with basic experience in machine learning or computer vision libraries; familiarity with Vision-Language Models (e.g., CLIP
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Python and/or C++. Demonstrable experience with machine learning frameworks (e.g., PyTorch, TensorFlow). Hands-on experience with game AI agents and/or GUI agents such as Mineflayer, Unity ML-Agents
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, San Francisco, and Berlin. The successful candidate will be resourceful with the ability to act on their own initiative, excellent quantitative skills including programming (e.g. Matlab, R or Python
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within the team and the customers. Be self-directed to fulfil the project requirements. Job Requirements: Competence in working with languages such as C along with AI applications as well as Python-based
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Python. Hands-on experience with: PyTorch Hugging Face Transformers OpenCV Experience working with deep learning models for image or video analysis.
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and experience of protein molecular modelling, protein–ligand docking, machine learning methods for computational biology, and software development in Python. Please upload your CV (including
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approaches Desirable: D1 Software skills including one or more of the following: python, C/C++, Matlab Experience Essential: E1 Experience of planning and progressing work activities within professional
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bioinformatics, computational biology, biology, genetics, computer science, statistics, applied mathematics, physics or a related field. Strong programming skills in Python, R, C/C++ or similar, with experience
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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