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)medical or nutritional sciences.Preferably you have experience with working with large datasets in statistical software packages such as R, Python or SPSS. Proficiency in English at C1 level or higher (CEFR
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machine learning research software, preferably using Python and PyTorch. An interest in foundation models, self supervised learning, multimodal learning, and 3D perception. An affinity for translating
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Python and/or Julia using LINUX-based OS. Communication of findings through journal publications, conference presentations and project reports. Candidate Requirements Applicants must satisfy the criteria
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with experience applying these models to practical applications for real-world challenges. Good programming skills, Python is mandatory, other languages (e.g., Java, C++) will be considered a plus to
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evidence of excellent study results. You have strong programming skills in C and at least one high-level language (e.g. Python). You have a solid understanding of wireless network stacks and/or experience
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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