91 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" positions at University of Cambridge in United Kingdom
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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
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bioinformatics/computer science will be essential. Prior experience with connectomics data is highly desirable. Our group has developed an international reputation in this area and our tools have now been used in
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The Tamura Lab for Circuit Physiology of Cognition is based in the Department of Physiology, Development and Neuroscience (PDN) of the University of Cambridge. Why can we easily notice a friend in a
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expected to engage broadly with the whole college community. It is the aim of King’s Research Fellowships to develop important fields of study that are currently too narrowly restricted in
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. The successful candidate will be expected to engage broadly with the whole college community. It is the aim of King’s Research Fellowships to develop important fields of study that are currently too narrowly
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a project aimed at developing more exoelectrogenic cyanobacterial strains. The project involves the creation of large mutant libraries of cyanobacteria and automation of screening for electroactivity
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to understanding the origins and progression of paediatric brain tumours and developing new therapeutic strategies. The lab combines genetic engineering, molecular biology, and translational research to investigate
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The Centre for Pathogen Evolution (CPE) at the Department of Zoology, University of Cambridge invites applications for a Research Assistant to a project on evolutionarily smart SARS-CoV-2 vaccines
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to better understand community perspectives and identify culturally appropriate engagement approaches. Prepare the ethics application and develop participant-facing materials. Contribute to the public
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, working closely with Professor Nora Pashayan. The successful candidate will focus on developing ethnicity-specific risk thresholds that more accurately reflect the variations in breast, ovarian, and