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into practical performance solutions. The “Travel, sleep and fatigue optimal management for long-haul performance” PhD programme will focus on mitigating circadian and travel fatigue challenges associated with
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PhD Studentship: Optimisation of Liquid Metal Filtration and Cleanliness in Nickel Based Superalloys
the knowledge and skills to traverse multiple domains. The project will be based at the High Temperature Research Centre (HTRC). The HTRC is a joint collaboration between the University of Birmingham and Rolls
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patients with mood disorders, including familiarity with clinical assessments (e.g., K-SADS, SCID) Computing and software skills in multiple platforms are helpful as well as familiarity with statistical
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the ability to work independently. Eagerness to acquire new knowledge and skills (e.g., machine learning, high-performance computing) that will support both the project and your personal development
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At the Faculty of Engineering and Science, AAU Energy, a position as PhD stipend is available within the general study program. The PhD stipend is open for appointment from September 1st. 2025
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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques
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PhD Studentship: Multi-robot Cyber-physical Systems for Solar Farm Health Monitoring and Maintenance
connectivity requirements for ensuring reliable and seamless communication in managing a coordinated robot fleet. Connect across the robot-centric network to ensure high-fidelity synchronisation while performing
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applications, such as wireless and wireline communications, satellite systems and high-accuracy radars and sensors for industrial automation. Multiple research associate / PhD candidate positions are available
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(in)compatibility between the stigmatised identity and the person’s pre-existing social identities, and the perceived stability and permeability of stigmatised status. Title: Multiple Identity
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to these challenges, working with high performance and distributed computing environments, working with large-scale machine learning models, and a proven research record of scholarly contributions through publications