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of Basel; enrolment in the International PhD Programme in Biomedicine, with courses, skills training and career development ● One of Europe's densest life-science ecosystems: alongside the University and its
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | 2 days ago
achieve your training and research goals? Do you want to bridge science and innovation, gaining entrepreneurship skills to translate breakthroughs into tools, therapies, or startups? The next PhD Program
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PhD Scholarship in Adaptive Soft-Mist Inhaler Technology Job No.: 697546 Location: Clayton campus (Laboratory for Turbulence Research in Aerospace and Combustion (LTRAC)) Employment type: Full-time
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doctoral positions within the following PhD programmes: Mental Health and Neuroscience: Disease Mechanisms – Diagnostics and Therapy – Clinical Neuroscience TUMOR BIOLOGY: Basic, Translational, and Clinical
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The Faculty of Science and Engineering (FSE) provides teaching and research across a wide range of disciplines, from physics and biology to artificial intelligence, mechanical engineering, and
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD work will be carried out within the EMPRe team (https://dcm.univ-grenoble
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
» Industrial engineering Engineering » Project engineering Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Oct 2026 - 23:59
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https://www.ntnu.edu/studies/phiv, see Section 6-1 of the PhD regulations for more information. You must have a relevant Master's degree in marine hydrodynamics, aerodynamics, fluid mechanics
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peer-reviewed journals and present at national and international conferences Write a doctoral thesis and publicly defend it Complete the mandatory PhD programme at the Faculty of Medicine and Health
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for admission to a PhD programme. Strong background in Computational Mechanics, Solid Mechanics and Numerical Methods. Knowledge of the Finite Element Method. Programming skills (Python & Fortran). Good written