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/heat transport Your profile You have a PhD in physics with solid knowledge of condensed matter physics, quantum mechanics, and magnetism. You have interest in a wide range of physics and experimental
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
20th June 2025 Languages English English English The Inland School of Business and Social Sciences invites candidates to apply for three PhD Research Fellowships: Artificial Intelligence Adoption
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excellent interpersonal skills. About You You will hold a PhD in a relevant subject such as Aerospace, Mechanical, Electrical, or Software Engineering for the Research Fellow position, or hold a Master's
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field of engineering Research experience in one or more of the following: geometry, optimization, dynamical systems, mechanics, probability and statistics, data science, machine learning Evidence of
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mechanisms. The postdoctoral fellow will take the lead on this endeavor, in collaboration with a PhD fellow focusing on brain function and health. PlastBrain is a collaboration between the Department
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to speak English in the campus. Requirements: PhD in Mechanical Engineering, Aerospace Engineering or equivalent. Publication record in top journals. Capacity to communicate fluently in English. Experiences
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Expected Start Date: July – Sep 2025 Basic Qualifications A PhD in Bioengineering, Biomedical Engineering, Electrical Engineering, Mechanical Engineering, and/or Neuroscience Extensive experience with
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, mechanistic simulations, and predictive AI models. Your work will help unlock new insights into disease mechanisms and inform potential treatments, diagnostics, and drug repurposing opportunities. Your role You
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Qualifications • A PhD in Atmospheric Science/Mechanical/Environmental Engineering or equivalent • Proficiency in computational fluid dynamics (CFD) simulations software • Strong passion in research and
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of the candidate: PhD in chemistry or chemical engineering or other related fields from a recognized University; Demonstrated understanding of research excellence and operational requirements to achieve successful