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Academic Centre of Excellence in Cyber Security Research, as recognised by EPSRC and NCSC; a particular focus of our work is on Trustworthy AI. The purpose of this role is to undertake research
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applications for position as PhD Research Fellow in Climate Risk and Energy Systems available at the Department of Technology Systems (ITS) at the University of Oslo. The desired starting date is approximately
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: PhD in Computer Science, Cybersecurity, Artificial Intelligence or related fields Strong background in AI/ML, particularly in interpretable AI, generative models, reinforcement learning or agent-based
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Computer Science, Engineering, Psychology or cognate discipline PhD, or in final stages thereof, in Computer Science, Engineering, Psychology, Safety Science or cognate discipline, or equivalent experience Knowledge
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First degree in Computer Science, Engineering, Psychology or cognate discipline PhD, or in final stages thereof, in Computer Science, Engineering, Psychology, Safety Science or cognate discipline, or
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novel heterogeneous material integrated MEMS/NEMS-Photonics platform for highly secure ICT hardware, reducing energy consumption significantly. The lead applicant Tokyo Tech team has strong expertise in
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-related issues in organizational strategic decision processes. This role integrates behavioral research approaches, field studies, and data analysis to generate high-quality academic research outputs and
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an excellent possibility to incorporate research, innovation and student activities into a clinical context. UiO/ Anders Lien via Unsplash UiO/ Anders Lien More about the position The PhD Fellow is expected
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and system safety challenges associated with the validation of autonomous vehicles is preferred. Skills in using simulation for system design validation. Good communication skills, both verbal and
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stakeholders Assist in lab management matters including safety and procurement Supervise and train junior members of the team Required Competencies and Education Qualification: PhD degree in Bioengineering