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Field
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endoscopists through a quantitative and qualitative assessment of the mucosal microstructure. You will be responsible for the algorithm development and implementation of the overall system. It is expected
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type (iv) work with the computational biology team to transfer this information into a AI algorithm that can distinguish neurodegenerative and neuroprotective phenotypes (v) work with colleagues in
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in applying and developing the theory and algorithms needed to simulate these challenging systems is an essential prerequisite. The successful applicant must have a PhD degree in theoretical chemistry
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reliability of data • at all time, including either developing or liaising with others to use chemometrics, ML/AI algorithms and/or multivariate analysis. • Manage your own research activities
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methodologies. Can offer guidance and leadership to colleagues, fostering a collaborative, inclusive and supportive environment. Cares deeply about well-designed models, algorithms, and data pipelines. The Hub
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humanitarianism; the politics/geopolitics of AI; algorithmic activism. Applicants should also have the ability to teach across a broad human geography curriculum (including the use of qualitative methods) and be
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expression in healthy B cells and childhood acute lymphoblastic leukaemia. You will apply sophisticated bioinformatic algorithms to analyse an array of chromatin profiling data derived from CUT&Tag, CUT&RUN
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PhD Studentship: Open Radio Access Network (ORAN) for Distributed Edge Computing Orchestration in 6G
://cheddarhub.org The work is envisioned to have great impact on design and development of intelligent AI/ML orchestration algorithms in real 6G experimentation test beds. The applicant is envisioned to further
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algorithms, validated navigation architectures, and new insights into next-generation intelligent mobility solutions. The student will undertake two industry placements at Spirent, use high-tech simulation
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mentorship to Centre students, fostering a collaborative, inclusive and supportive environment. Cares deeply about well-designed models, algorithms, and data pipelines. The Hub will work on a range of goal