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fields: cell cycle control and protein degradation by the ubiquitin-proteasome system. Our work focuses on both tumorigenesis and normal biology, and our overall goal is to apply new mechanistic insights
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Nuffield Department of Clinical Neurosciences (NDCN), MRC Brain Network Dynamics Unit, Mansfield Road, Oxford The post holder will develop computational models of learning processes in cortical
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scholars in Law and two PhD students (one in Law and one in Computer Science/Data Analytics), as well as with international, European and national stakeholders involved in the CURE project. The post-holder
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research interests might be considered, priority will be given to those able to relate to one or more of the above topics. Applicants must have a PhD in Mathematics, Statistics or Computer Science obtained
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of our undergraduate program, with a large number of undergraduate majors and popular joint undergraduate programs in statistics and machine learning, and in statistics and economics. We also have two
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meaningful public and patient involvement in health and social care research. The successful candidate will work closely with our Programme Manager and collaborate with a national team including Programme
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Post-Doctoral Associate in the Division of Social Science - Dr. Morgan Hardy and Dr. Veda Narasimhan
. This is an excellent position for candidates entering the final year of a PhD program who are looking to postpone the formal economics job market and build a strong academic record. The position does not
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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(or near completion) in computer science, machine learning, mathematics, computational biology, or a related field Strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR, JMLR, AAAI
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information science principles Proficiency in microwave and/or optical device characterization Desirable Skills: Expertise in quantum experiments, such as qubit control and entanglement Experience with quantum