288 computer-programmer-"https:"-"https:"-"https:"-"IFM" Postdoctoral positions in United Kingdom
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specialist knowledge in the discipline to work within established research programmes, a proven ability to manage your own academic research and associated activities, experience of contributing
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and Immigration website . Full-Time, Fixed-Term (until 31 August 2028) The Department of Computer Science is seeking a Postdoctoral Research Fellow for the Leverhulme-funded project “Social Mechanisms
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models. The project has the potential to bring together ideas from several different areas: mathematics (polynomials, probability, complex dynamics systems), theoretical computer science (computational
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team on forefront science, while profiting from the international environment in the Department of Astrophysics . We have privileged access to the Austrian Scientific Computing super-computing facility
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-clinical immunology and vaccine development programmes, focused on outbreak-related pathogens including filoviruses such as Ebolaviruses, arenaviruses such as Junín, and Bunyaviruses such as Crimean–Congo
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School, we are known for our pioneering research and pride ourselves on our international reputation. We are equal first in the UK for the impact of our Computer Science research, and second for our
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successful candidate must have a PhD (or equivalent) in the field of computer vision or a closely related area. They will possess the skills and ability to conduct high-quality, innovative research and to
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computational models of extra-chromosomal DNA in human cancers. Extra-chromosomal DNA drives some of the most difficult-to-treat cancers. Yet, little is known about the evolutionary process of ecDNA. This project
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We are seeking a full-time Postdoctoral Research Assistant in Optimisation and Control to join Dr Jack Umenberger’s research group at the Department of Engineering Science (central Oxford). The post is funded by UKRI and is fixed-term for 35 months. The project concerns real-time balancing of...
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Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials