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arrangements. Computational Fluid Dynamics (CFD) tools will be used for validation. Candidates must hold at least a first degree or a Master-degree in Mechanical Engineering or a relevant subject. This project
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The students will be enrolled in the structured PhD programme of the Medical School, NKUA. About the project/work tasks: This position is part of: 19 PhD Fellowships available in Digital Endocrinology in
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This work falls under the topic of e
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applicants with a background or experience in: • Computational chemistry • Materials simulation • Scientific machine learning / AI • Molecular dynamics or DFT • Materials science or a related discipline
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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-checked
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course lecturer position to teach in Winter 2027. Please include your cover letter and Curriculum Vitae. Course Lecturer MECH 539- Computational Aerodynamics (3 credits) Instructor must cover all material
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We seek a research associate to work on the development of a computational fluid dynamics (CFD) workflow in an industrially focused project in collaboration with Great Britain Cycling Team (GBCT
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to $27,866 FLSA Status: Nonexempt Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary This position supports an active neuroscience research program investigating how the human brain processes and
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identifying dynamic fatigue profiles in students with elevated fatigue and relating them to short-term response to iTBS, the project lays the groundwork for more personalized, state-informed brain stimulation
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of Nursing. This position works collaboratively with faculty, instructional design, academic leadership, and support teams to ensure online courses are high quality, current, accessible, aligned with program