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for analysing complex materials, structures and model validation. The DIC community has developed guidelines to ensure robust measurements, continually advancing standards through ongoing challenges. In
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degree or MSc degree (Distinction/Merit) in engineering, computer science, or other closely related fields. Experience with ROS and proficient programming language skills (C++, Python, MATLAB) would be
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networking with colleagues and students; planning and organising research resources and workshops. Successful applicants will have or be near to completing a PhD in computer science, information engineering
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Engineering, Physics or Materials Science Excellent English written and spoken communication skills The following skills are also highly desirable: Ability to program in Matlab, Python or similar Strong
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for the production, storage, and utilization of hydrogen as an energy source. Central to hydrogen-based technologies are the functional materials that facilitate them. Recently, our research teams have identified a
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fees will be covered for up to three years. Eligibility Applicants must have an undergraduate or postgraduate qualification in computer science, machine learning, AI or another relevant field. Equivalent
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contributing to safer, more efficient next-generation flight. Required qualifications: We are looking for candidates with: A strong background in Mechanical, Materials, or Aerospace Engineering. Experience in
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university tuition fees. How to Apply: All applications should be made online . Under ‘Campus’, please select ‘Loughborough’ and select ‘Mechanical and Manufacturing Engineering’ under ‘Programme’. Please
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degree (or equivalent) and/or a relevant postgraduate masters’ qualification (MSc) in materials science, engineering, mechanical Engineering, chemical Engineering, physics, or a related discipline. (E
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We are seeking to recruit a Postdoctoral Research Associate in Inorganic Materials Synthesis to work in a multidisciplinary Engineering and Physical Sciences Research Council Programme Grant team