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for Doctoral Training in Engineering Solutions for Antimicrobial Resistance. Further details about the CDT and programme can be found at AMR CDT webiste Applications should be submitted by 12th January 2026.
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-informed machine learning (PIML) with domain-specific engineering knowledge. By embedding physical laws and corrosion mechanisms into data-driven models, the research will produce more accurate
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engineering wake models to mesoscale simulations with wind-farm parametrisation, when predicting wake effects and thus annual energy production. The student will improve current models used by industry such as
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undergraduate honours degree in Engineering, Mathematics, Computer Science or Physics Excellent English written and spoken communication skills The following skills are desirable but not essential: Background in
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language is not English require an IELTS score of 6.5 overall with a minimum of 5.5 in all sub-skills. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance
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Fullyfunded PhD Studentship: Underground Pumped Hydraulic Storage Background One lesser considered challenge of the shift towards renewable energy is the need for reliable and robust energy storage facilities. A popular method of doing so is to create vast battery storage facilities which...
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Research Studentship in Engineering 3.5-year D.Phil. studentship Project: Electronic-free Mechanical Oscillators for Fast Locomotion in Soft Robots Supervisors: Prof Antonio Elia Forte Soft robots
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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project will explore designing and engineering novel behaviours and responses into LCEs, from understanding their fundamental molecular organisation to creating functional materials with applications
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that the project is guided by complementary perspectives in meteorology and engineering. The project benefits from access and training at the CFCM laboratory at Exeter, where methods and tools for validation will be