604 engineering-computation "https:" "https:" "https:" "Univ" "Univ" PhD research jobs
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: Engineering design & CAE (e.g., structural/thermal/fluids workflows) Chemical and process industries (e.g. optimization, control, surrogate models) Related computational engineering problems where simulation
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biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a multidisciplinary team at KCL, UCL and with clinicians at Great Ormond
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administrative activities related to the position according to the instructions of the department head. WE REQUEST Professional education, qualifications and experience Master’s Degree Programme in the archaeology
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to provide support and guidance. ● Lead training for camps focused on data use and interpretation for program improvement. Project Management and Evaluation Coordination ● Coordinate data collection efforts
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any of these areas as well as an interest in combinatorial and computational methods is welcome, but not required. What we offer - Close and supportive supervision in a small Junior Research Group
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, or even computational architectures. What we are looking for: Research Associate: hold a PhD (or equivalent) in Aerospace Engineering or a closely related discipline. Research Assistant: A first/masters
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teaches with approximately 25 staff members in the Department of Mechanical Engineering at the School of Engineering and Design (SoED) of the Technical University of Munich (TUM) in Garching on the design
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international team. Previous experience in academic research or an interdisciplinary background in engineering fields. WE OFFER Working environment stable working environment in a prestigious institution
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levels, - policy design and impact analysis, - resource allocation, growth and welfare evaluation, - technology diffusion and firm level innovation. leading to an internationally competitive PhD degree and
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! Education · PhD in computer science, engineering, applied mathematics, physics, or another STEM discipline. · Demonstrated experience with mathematical and numerical optimization methods