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valuable experience working in an interdisciplinary environment. Requirements: First-class or 2.1 honors degree (or international equivalent) in engineering, computer science, applied mathematics, or a
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a student with a background in Mathematics, Computer Science, or a related STEM discipline who is passionate about computer graphics and gaming. A prior interest or experience in ML/AI rendering
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Within energy from waste (EfW) plant, non-recyclable waste is combusted to extract useable heat to create electricity. This process has two major benefits: 1, electricity is generated from a source of fuel which would otherwise be considered as waste and 2, the waste is diverted away from land...
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the material properties of these drying powders, with the aim of identifying the culprits of wall adhesion. The project is suitable for an applied mathematician, or physicist with a strong mathematical
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, mathematics or related field. Experience with computer programming languages (e.g., MatLab, Phyton), familiarity with geographic information systems and systems thinking methodologies and an interest in
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, or a 2:1 Honours degree and a Masters, or a Distinction at Master’s level a degree (or the international equivalents) in computer science, engineering, physics or mathematics and statistics, we would
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research. The project will involve computational modelling using physics- and machine learning-based methods and would suit a top student with a background in Physics, Engineering, Mathematics or similar
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for Doctoral Training in Modelling of Heterogeneous Systems (HetSys), based at the University of Warwick, offers an exceptional opportunity for students from physical sciences, life sciences, mathematics
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at the University of Warwick, offers an exceptional opportunity for students from physical sciences, life sciences, mathematics, statistics and engineering backgrounds who are passionate about applying their
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Systems (HetSys), based at the University of Warwick, offers an exceptional opportunity for students from physical sciences, life sciences, mathematics, statistics and engineering backgrounds who