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Midlands Graduate School Doctoral Training Partnership | Birmingham, England | United Kingdom | about 2 months ago
of evidence-based interventions. The chosen candidate will join a strongly multidisciplinary team and learn clinical skills alongside academic skills related to review of the literature, research design, data
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once the deadline passes. You will need to meet the minimum entry requirements for our PhD programme . A strong background in computer science, computational science, data science, or a closely related
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behaviour and system efficiency. Uncertainty is inherent in the design of subsurface energy technologies, particularly during early-stage development when data may be sparse, incomplete, or inaccessible
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investigation) and basic quantitative methods (e.g., monitoring) Ability to collaborate and engage to different stakeholders Strong analytical skills and ability to handle data confidently Funding support After a
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the programme of study You will then need to provide the following information in the ‘Further Details’ section: · A ‘Personal Statement’ (this is a mandatory field) - upload a document or
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willingness to learn advanced methods Experience with quantitative and qualitative methods Experience in cognitive-behavioural studies and data preparation English language proficiency Ability to work
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waste)? How much of an improvement to air quality could be achieved by improving user behaviour? The student will use this data along with DEFRA commissioned surveys, together with laboratory data and
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-balancing under stress) and Autonomous Transportation (modeling traffic systems during cyberattacks). This includes creating an Adversarial Scenario Library to curate edge cases like data poisoning and
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skills (Python preferred) Experience with processing and analysing 3D data Excellent written communication skills An interest in interdisciplinary research and enthusiasm for developing novel methods
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development. Interested? Apply Now! For more information, please contact Prof. Rob Dwyer-Joyce at r.dwyer-joyce@sheffield.ac.uk. Ready to take the next step? Visit PhD study | MAC | The University of Sheffield