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will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show challenging properties of uncertainty, irregularity and
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use this formalisation to encode our STV algorithm on encrypted ballots. This approach aims to ensure both the correctness and privacy of the tallying process, paving the way for verifiable and secure
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on a European consortium project, UP2030. UP2030 aims to support cities in driving the transitions
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cells or the tumor microenvironment reduces tumor growth and extends survival in preclinical models, underscoring their potential as dual-function therapeutic targets. To address this, we aim to develop
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research area, and work alongside your peers for the first 10 weeks of your studies, splitting your time between high-level training and laboratory rotations. You will also take part in a three-month
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, natural language understanding, and more. Your work will directly influence our trading strategies and decision-making processes. This is a unique opportunity to work at the intersection of cutting-edge
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
Number of Vacancies 1 Full Time Equivalent (FTE) 1.0 Full Time or Part Time Full Time Anticipated Recruitment Range. Salary offered may be outside of this range as impacted by budget, UNC salary
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Overview: As data becomes more accessible, new challenges arise around how best to use it—especially in complex, multi-system environments like aerospace. Ontologies offer a powerful solution by
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-funded Swansea University Research Excellence Scholarship (SURES) for a full-time doctoral student commencing in October 2025. Investigating functional genomic and multi-omic data analysis and integration
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We are seeking to recruit a highly motivated Research Assistant to work with a research group based in the Centre of Membrane Proteins and Receptors (COMPARE) within the Division of Pharmacology