192 phd-position-data-mining Postdoctoral research jobs at University of Oxford in Uk
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of conventional and spatially resolved angle resolved photoemission spectroscopy with spin resolution. The post holder provides guidance to less experienced members of the research group, such as PhD and project
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at the Old Road Campus Research Building (ORCRB), Oxford, OX3 7DQ and it is offered on a full-time, fixed-term basis for three years. About you You will hold a PhD (or near completion) in a relevant discipline
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of migration in cetaceans’. The post holder will provide guidance to less experienced members of the research group, including research assistants, technicians, and PhD and project students. The post holder will
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We invite applications for a Postdoctoral Research Associate to join a research project funded by an EPSRC grant. The position is offered on a fixed-term basis until 31 August 2026, with a maximum
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approaches, as well as being able to build on expertise in bacteriology, cell biology, structural biology and biochemistry in the group. You should hold, or be close to completion of, a PhD/DPhil in biological
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data from patient samples, including DNA methylation, histone modifications, single-cell transcriptomics and chromatin accessibility. You will contribute to the study and sequencing design, collaborate
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evaluations, attacks on and defensive mechanisms for safe multi-agent systems, powered by LLM and VLM models. Candidates should possess a PhD (or be near completion) in Machine Learning or a highly related
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socioeconomic inequality. DIVREP involves three broad objectives: (1) assembling data on childbearing age and fertility levels, and estimating novel indicators of variation in reproduction for over 120 countries
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changes. In this role, you will take a lead on developing data analysis approaches and contribute to the overall study design and implementation. In particular, this will involve applying existing or even
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and leading a programme of numerical simulations relating to all aspects of our research on P-MoPAs; using particle-in-cell computer codes hosted on local and national high-performance computing