633 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "INESC TEC" positions at University of Sheffield
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Deciphering Streptococcus dysgalactiae subsp. equisimilis Population Genomics and Host-Pathogen Interactions using Advanced 3D Tissue Engineered Infection Models
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background in physics, engineering, mathematics, or related quantitative discipline Interest in biological systems and interdisciplinary research Experience or willingness to learn computational modelling
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. How to apply: Please complete a University Postgraduate Research Application form available here: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying. Please clearly state the prospective main
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., hazard perception), and interventions to improve young driver safety. Interventions could involve health behaviour change (e.g., applying the Theory of Planned Behaviour) and/or new road safety technology
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degree and a Masters, or a Distinction at Masters level with any undergraduate degree (or international equivalents) in Chemistry, Computer Science, Earth Science, Engineering, Physics, or Mathematics and
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discipline such as Computer Science, Engineering (e.g., electrical and electronic engineering, control engineering, etc.), or Mathematics. Strong mathematical aptitude (minimally to UK A-Level standard or
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. Candidates are expected to possess a degree in Software Engineering or Computer Science. Specifically, applicants must demonstrate experience in writing tools to address flaky tests and have encountered them
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clinical and non-eating-disordered individuals. However, it does not work to the same degree for all individuals, and is not implemented in the same way by all clinicians. This research programme will
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for applicants with a background in computational neuroscience or robotics. Funding Notes Self funded or externally sponsored students only. Intakes are usually October and March annually. NB The University has
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for research in computational hearing, speech perception and speech technology. It includes five professors, three lecturers and many research associates and PhD students. SpandH group members play key roles in