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Field
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Engineering’. Please quote the advertised reference number, ‘FCDT-26-LU10’, in your application. This PhD is being advertised as part of the Centre for Doctoral Training for Resilient Flood Futures (FLOOD-CDT
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be awarded a master’s degree in any of the following disciplines: Chemical Engineering, Physics, Mechanical Engineering, Energy Engineering, Environmental Engineering, Computer Science, or other
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Qualification: Doctor of Philosophy in Engineering (PhD) Eligibility: UK Students, EU Students, International Students Award value: Home fees and tax-free stipend - See advert for details Project
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mechanisms of the sexual conflict and its resolution. You will combine cutting-edge bioinformatics, genome engineering, and state-of-the-art sequencing technologies to: Identify and characterise consistent
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these into game engines to visualize and provoke alternative, sustainable working environments that make space for nature. The student will consider how digital-twinning (virtual replication) and gamification
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detection. The successful candidate will engineer selective surface chemistries, advance flow-through detection methods, and apply the sensor to mechanistic studies of PFAS interactions with proteins and
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systems theory Excellent analytical and problem-solving skills Desirable criteria Advanced programming and data analysis skills Computational neuroscience background Behavioral data analysis skills Strong
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, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. Strong background/skills on machine learning, mathematics, probabilistic
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a relevant subject (physics, mathematics, engineering, computer science, or related subject) Proficiency in English (both oral and written) A strong background in computer science, artificial
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requirements: Applicants should have, or expect to achieve, a first-class or high 2:1 undergraduate degree in Civil Engineering, Construction Management, or a closely related discipline. A relevant master’s