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of Mechanical and Mining Engineering, where innovation meets impact. As a key member of this dynamic team, you will develop cutting-edge computational models of two-phase flow in fractured media — ranging from
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer
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have a PhD Degree in Mechanical Engineering, Automation, Control Engineering, Mechatronics, etc. Strong background in path planning and decision-making. Candidates having relevant research or working
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essential. Candidates are expected to be confident independent researchers, educated at a PhD level. The Research Fellow is also expected to assist with the general programme of work that is conducted in
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fields: architecture; building science; mechanical engineering. Possessing a Master’s or PhD degree will be advantageous with prior experience working in the architecture and/or sustainable building design
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Join Dr. Marcel van den Brink’s multidisciplinary team to explore innovative ways to decipher the molecular mechanisms by which the microbiome contributes to the biology of bone marrow
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View All Vacancies Reference: UOH-TA-428 Campus: Hull Faculty/Area: Faculty of Science and Engineering School/Department: School of Engineering Subject Group/Team: Mechanical Engineering Salary
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to improve model simulation, and attribution of the impacts of SAI Design further AI/ML approach to test hypothesised mechanisms that emerge from the analysis Main Duties The responsibilities may include some
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of Mechanical, Medical and Process Engineering, Faculty of Engineering. The Artificial Heart Frontiers Program (AHFP) is seeking a highly motivated Mechanical Engineer with a specialisation in Computational Fluid
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science and engineering. Develop an individual research strategy and profile in icing science and engineering. About You You will hold a PhD (or close to completion) in aerospace engineering, mechanical