87 high-performance-computing-postdoc research jobs at University of Cambridge in United Kingdom
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record keeping. Additional techniques will include protein isolation and quantification from cells and human tissue to perform Western Blot and immunoprecipitation. Applicants will have a BSc degree/MSc in
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local contexts. The successful candidate will be encouraged to contribute to all components of the group's programme but will be expected to i) map the range of primary and community health services
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collections in Sri Lanka is desirable. The successful candidate will be able to evidence their ability to publish high quality research, and have proven ability to conduct a research project, producing clear
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of their activity in target transformations, followed by extensive optimisation studies. The role will also include kinetic and mechanistic investigations to enhance catalyst performance. Applicants should have (or
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lab investigates systems neuroscience questions, specifically the role of cortico-subcortical loops in statistical learning. We focus on the auditory system and perform awake/asleep electrophysiology
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, qualifications and experience required to perform the role are: Relevant background experience may include urban studies, policy, systems engineering, civil engineering, construction management, climate mitigation
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animals, while Prof Durbin's works on computational genomics and large scale genome science, including the development of new algorithms and statistical methods to study genome evolution. Moving forward
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molecular and computational approaches. They will hold a PhD in a relevant subject, have a solid computational background, and be able to curate, analyse and interpret complex single-cell data sets
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candidate should have (or expect to soon be awarded) a PhD in quantum information theory (including some aspects of quantum computing, quantum cryptography and/or quantum communication) and some experience in
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developing theoretical and computational methods to investigate biological systems. Preference will be given to candidates with experience in modeling the genetic basis of phenotypic variability. The candidate