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system with integrated sensors. You should hold or be near completion of a PhD/DPhil with relevant experience in the field of robotics, biomedical engineering, information engineering, electrical
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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to underpin Salmonella pathogenesis. The post-holder will be responsible for managing their own academic research programme in Salmonella effector biology. You will have a high degree of autonomy to develop
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Materials & Composites Laboratory: https://eng.ox.ac.uk/mmclab/) in the Department of Engineering Science at Oxford University. The post is funded by the ERC Proof-of-Concept (PoC) grant: RESILIENT and is
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must hold, or be close to completion of a doctoral degree in a relevant field (e.g., data science, geography, environmental science, public health, economics). You will have experience relevant for food
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computational, a good understanding of practical molecular biology will be important. It is expected that the holder of this post will take a leading role in producing analyses for publication and dissemination
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must hold, or be close to completion of a doctoral degree in a relevant field (e.g., data science, geography, environmental science, public health, economics). You will have experience relevant for food
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information. http://www.proroklab.org The Department of Computer Science and Technology is an academic department that encompasses computer science along with many aspects of engineering, technology and
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and Mind Building, South Parks Road, Oxford Applicants must hold a PhD in Microbiology and/or Molecular biology and will be responsible for providing microbiological data to facilitate the design of new
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Machine Learning, Human-Computing Interactions, Social Sciences, and Public Health. Applicants should hold, or be close to completion of, PhD/DPhil with research experience in computer science, statistics