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impact, leveraging one of the highest-quality financial datasets in the industry. What You’ll Do Conduct research and develop ML models to enhance trading strategies, with a focus on deep learning and
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, or equivalent in a relevant discipline (Animal Science/Agriculture with Animals Science/Veterinary Bioscience or other Biological Science) or a 2.2 alongside a relevant Master's degree with Merit, or potential
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an upper second class (2:1) honours degree, or equivalent in a relevant discipline (Animal Science/Agriculture with Animals Science/Veterinary Bioscience or other Biological Science) or a 2.2 alongside
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sources such as (i) atmospheric models, (ii) satellite remote sensing, (iii) land use information, and (iv) meteorological data. The aim of this PhD is to develop and implement models for integrating data
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results in peer-reviewed journals and at national and international conferences We are looking for candidates with a master’s degree in agricultural sciences, geography, environmental sciences, agro-/geo
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the university's research and make scientific work and knowledge open and accessible to future generations. Qualifications Who you are: You hold a PhD in political sciences (or will obtain a PhD in the near future
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for faster medical imaging with reduced radiation dose. The focus will be on (cone beam) CT and its use in image-guided interventions in oncology. One of the main challenges is to deal with high noise levels
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Europe and in the post-Soviet Eurasia (with a particular focus on Russia). The main focus of the research is in the comparative authoritarianism studies: how do authoritarian regimes in the post-Communist
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in health and wellbeing. This practice-based research project will align with the University’s civic mission and its research priority on Arts and Health and will be embedded in the development of a
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), data entry, and literature review. Ideal candidates will have a background in environmental chemistry or soil science and some lab experience. BACKGROUND CHECKS/CLEARANCES Employment with the University