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, experiences, and approaches to their work. About You We encourage applications from individuals with a wide range of backgrounds and experiences. You should demonstrate: Essential Criteria: PhD in a relevant
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• PhD in Mathematics/Statistics/CS. Skills: • Proficiency in reinforcement learning, quantitative finance, risk management, and machine learning. • Strong programming skill in Python
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and research in several areas. These include, but are not limited to: Adversarial location and network interdiction models Adversarial machine learning attacks and defense (e.g., against Bayesian
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disruptions and in pinched plasma disruptions in dense plasma focus devices. Bremsstrahlung scattering of these energetic electrons orbiting within the machine produce gamma-rays (of energy up to ~20 MeV
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, and support research project execution and reporting. Job Requirements: A completed PhD in Electrical Engineering, Computer Engineering, Computer Science, or a closely related discipline. Strong
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to investigators and collaborators. Prepare technical reports and research updates for project leadership. Mentor junior AI researchers and contribute to capability building within the team. Job Requirements: PhD in
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, clinical and sensor data processing, quantitative image analysis and machine learning. They will establish and maintain robust research databases and FAIR-compliant data management processes for large, multi
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verified reference monitor on top of seL4 for the secure containment of AI agents. We will develop new mechanisms for dynamically controlling agents’ capabilities and information flows, together with machine
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12th October 2026 Languages English English Norsk Nynorsk English Postdoctoral Research Fellow position within Physics-Informed Machine Learning for Offshore Wind Apply for this job See
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discovery timelines from months to days while building reproducible, open workflows for the broader materials and AI research communities. For the postdoctoral fellowship, we seek candidates with a PhD in