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or Python). Knowledge of the social identity approach and health psychology models are essential, and experience of network science or computational modelling is desirable.
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of programming, computer vision, machine learning, or related discipline. Experience with Python and relevant AI/ML libraries (such as PyTorch, TensorFlow). Demonstrated knowledge of multimodal data processing
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discipline. Essential Good programming skills, preferably in Python/C#. Experience with machine learning, deep learning, or experimental AI evaluation. Interest in secure distributed AI, federated learning
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offer visa sponsorship for this role. Candidate requirements Essential Skills in programming, preferably in Python, and a suitable undergraduate / masters degree in the discipline of Computer Science, NLP
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expertise across all three. Good mathematical and analytical skills. Programming experience (such as Python, MATLAB, or similar) for simulation-based research, or be willing to develop this during the PhD
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(e.g., Python, MATLAB, C++, etc). Strong written and verbal communication skills. Please contact the main supervisor, Dr Emily Manchester - [email protected] . Please send your CV and a
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dormancy, persistence or stress physiology, bacterial defence systems, single-cell imaging, microfluidics, image analysis, Python or R would be advantageous. Appointment at Research Associate level is
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, or related areas. Experience with programming in Python and/or MATLAB. Excellent analytical, problem-solving, and communication skills. A genuine enthusiasm for research and innovation. What We Offer
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quantitative data and relevant software (Stata, R, Python, or similar) would be advantageous. This is a part-time (32% FTE, 12 hours per week) fixed-term post until 28 February 2027. The Department of Social
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-related discipline. 2) Strong programming ability in optimisation or machine learning (e.g., Python/Matlab/C++; PyTorch/TensorFlow). Experience in signal processing/wireless or SDR/GPU prototyping is a plus