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academic or management committees. Full information on duties, responsibilities and criteria can be found in the Job Description. Essential requirements A PhD (or equivalent) in Chemical Engineering or a
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methods to improve the deployment, adaptation capabilities and safety of robots and critical infrastructures. The developed algorithms will be evaluated on legged robots, wheel-based robots and under
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research environment with the research team. Applicants should hold or near completion of a PhD in Chemistry or a closely related discipline. Excellent verbal and written communication skills, including
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-discovery-development/ Your role will be to drive discovery and development of novel medicinal chemistry methods in support of students on various drug campaigns. You will work in support of the Tate, Barnard
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, to share data, tools and methods with relevant stakeholders and engage with those working on ethics and governance projects. You should have a PhD in eukaryotic synthetic biology (or equivalent
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in Prof. Dan Davis’s lab in Imperial College London, South Kensington, to study fundamental aspects of molecular recognition by human Natural Killer cells using molecular and cell biology methods
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, and dynamic individual who is a team worker, has a positive outlook, and is adaptable and flexible in their working methods. It is also essential that you are highly experienced in setting up continuous
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of these scales. Multi-disciplinary approaches are particularly welcome. AI/ML approaches are of growing importance in all areas and we encourage pioneers of these methods to apply. The positions are open to
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training efforts, contribute to publications, and help supervise junior researchers as the project expands. Key Responsibilities Develop and apply generative ML and statistical inference methods to ANC
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at the interface between computational design and in vitro experiments, the team has developed multiple in silico and in vitro methods to design novel antibodies and nanobodies as therapeutic agents and research