33 algorithm-sensor-"DIFFER" Postdoctoral positions at University of Oxford in United Kingdom
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research centre that aims to conduct world class research that contributes to a world where differences between people are understood and accepted, strengths are capitalised on, and mental health
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vibrant quantum research environment, with opportunities for close collaboration with researchers across different departments and also under the Oxford Quantum Hub and Oxford Quantum Institute. Although
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difference in combatting antimicrobial resistance globally and changing international policy. We contribute significantly to basic knowledge of antimicrobial resistance and apply research methods to identify
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and molecular mechanisms that act within these sites, and to determine how these events lead to a balanced immune response in different conditions and physical constrains imposed by each organ
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well as proficiency in data analysis and coding. Your writing and communication skills allow you to interact effectively with different academic communities. Applications should include responses to each
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developing mathematical algorithms and simulations in MATLAB, in particular with Semidefinite Programming and Sum of Squares and of the analysis and design of feedback control systems using these approaches
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developing new algorithmic approaches for TAPS data, interpreting the results in the context of phenotypic observations, and communicating these findings clearly to the broader team. You will prepare the
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associated computing code for modelling avian influenza outbreaks in Great Britain (GB). One position will focus on modelling the risk of virus invasions into GB in different locations and at different times
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hardware support mechanisms. Your role will include the design, implementation and evaluation of different parts in the system, and the integration with other partners in the project. About you You should
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
related field. Strong quantitative and programming skills (e.g., R required). Experience in ecological modelling with different Artificial Intelligence methodologies, including but not limited to machine