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Field
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computational social science and computational mental health to capture fine-grained behavioral data, uncover underlying mechanisms, and design interventions that reduce harm, promote healthier information
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or machine learning to complex data. The successful candidate will have (or be nearing completion of) a PhD in a relevant field such as polymer science, materials engineering, or mechanical engineering
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We are seeking an experienced Bioinformatician to help establish and lead the computational side of a new, growing group. The Crossley research group (https://www.cruk.cam.ac.uk/research-groups
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provider: EPSRC DTP 25/26 Fully Funded Studentship Subject area: Algae biotechnology/computational biology/microbial community networks/ecological theory/evolutionary mechanisms/biomass productivity
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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. You will have: 1) Post-graduate level, ideally qualified with a PhD (or close to completion) in Building Services Engineering, Mechanical Engineering, Control Engineering, Computer Science, Data Science
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United Kingdom Application Deadline 25 Aug 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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O’Regan and his team to support a program of research using cardiovascular imaging, genetics and health data to discover disease mechanisms and predict outcomes. You will work within a diverse
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boundaries. This fully funded PhD scholarship is suitable for students with a background in Engineering Design, Smart Manufacturing, Aerospace Engineering, Mechanics, Computer Science, Mathematics, Life Cycle
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dedicated PhD student with a 1st class or 2:1 degree in the field of Engineering, Mathematics, Physics, Architecture or Computer Science. A MSc degree in a relevant area is desirable though not necessary