35 algorithm-development-"Prof"-"Prof" Fellowship research jobs at University of Birmingham in United Kingdom
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algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It investigates how the unique capabilities of quantum computing
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inversion techniques and signal processing. Strong programming skills, Proficiency in scientific computing (e.g. Python, MATLAB, or similar) for algorithm development and data handling. Experience with sensor
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development of future proposals for funding, into AI for renewable energy. You will consider ways in which the integration of machine learning algorithms might support the wider integration of, and uptake
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and refine algorithms and models for large-scale language processing tasks, with a focus on healthcare data Contribute to developing new models, techniques and methods for clinical machine learning
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the prevalence and risk of modern slavery. There will be a focus on Bayesian nonparametric methods and practical development of MCMC algorithms that can be applied to data. Translating the project findings
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closely together during the project. There will be opportunity for additional training for the successful applicant with our collaborators to develop a wide range of technical expertise in immunology
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Trust and will work closely together during the project. There will be opportunity for additional training for the successful applicant with our collaborators to develop a wide range of technical
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environment will provide you with unique development opportunities. Our globally-operating research group is embedded in a vibrant community of world-renowned scientists in the fields of genome biology, cancer
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expected to plan appropriately for their own future career development, which may include networking and submitting funding applications. This is a fixed term post of up to 20-months duration. Main Duties
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that regulate seed development first evolved from a seedless vascular plant. Specifically, this project will test whether seed gene networks are conserved with those of the gametophyte egg-chamber (archegonium