64 computational-physics-"https:"-"https:"-"https:"-"https:"-"University-of-Rijeka" positions at Cranfield University
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mechanical, control or aerospace engineering, physics, mathematics, or other relevant engineering/science degree. The ideal candidate would have experience with computational modelling and control of dynamical
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management. The program will combine desk based and experimental activities that will ultimately establish the most sustainable approach to treatment, recovery and/or disposal of the brines. The successful
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business analysis and process improvement. If you can also add strong stakeholder management skills, then you could be the person we’re looking for. The successful candidate will help Cranfield drive
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on project management. About You You will have a solid background in IT project management and be able to demonstrate competencies in business analysis and process improvement. If you can also add strong
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progression up to £29,370 per annum We welcome applications from digital specialists to join our newly established Process Automation and Improvement Team – driving smarter, more efficient ways of working
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to £43,805 per annum We welcome applications from skilled, delivery-focused engineers to contribute to our successful railways-applied smart machines research programme. About the Role We are seeking a highly
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covers fees and stipend for a home (UK) student with funding provided by the Leverhulme Trust through the Connected Waters Leverhulme Doctoral Programme. Options exist for PhD and Master + PhD routes
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Verification Tools: Develop AI algorithms that automate the verification process, ensuring systems meet required safety and performance standards. Health Monitoring Algorithms: Implement AI-based monitoring
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Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30
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, and flexible working arrangements ideal for computational and field-integrated PhD research. Methodology You will develop a process-based, spatially explicit population model for European amphibians