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Field
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mathematically rigorous probability Desirable criteria Demonstrable ability to plan and manage independent research. Experience in one or more of these topics: interacting particle systems, random walks in
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complete in silico framework to accelerate the discovery of novel Polyhydroxyalkanoate (PHA) structures, which includes the creation of a high-throughput computational pipeline designed to engineer advanced
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precancers and developing targeted interventions, including vaccines, to intercept them. The project focuses on designing, validating, and preclinically testing neoepitope-based mRNA vaccines to prevent BRCA
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team of Professor Holly Krieger and work on any aspect of algebraic, arithmetic or complex dynamics. The role holder will be expected to plan and manage their own research and administration, with
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well in a team and possess strong interpersonal and leadership skills (e.g., knowledge how to foster and deal with diversity, coaching and mentoring skills). Additionally, experience in designing and
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of novel Polyhydroxyalkanoate (PHA) structures, which includes the creation of a high-throughput computational pipeline designed to engineer advanced biodegradable materials with application in sustainable
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Role: Postdoctoral Research Associate Grade and Salary: Grade 7, £37,694 - £47,389 per annum FTE and working pattern: 1FTE, 35hrs per week, Monday – Friday Contract: 27 Months, Fixed-Term Holiday
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communication skills and ability to work in a team Fluency in English (written and spoken) Desirable Expertise Experience in design, implementation, and usage of bioinformatics algorithms. Experience with
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cutting-edge research at the intersection of RL and LLMs. You will also design and run experiments to improve LLM efficiency and sustainability. You will hold a relevant PhD/DPhil or be near completion
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Responsibilities Perform the following activities in conjunction with and under the guidance of the Principal/Co Investigators: 1. Plan and conduct assigned research individually or jointly with other