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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Fellow to develop physics-informed AI models for the discovery of damage-tolerant
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-field deformation data using three-dimensional digital image correlation (DIC). On the numerical side, this involves building automated finite element and inverse-identification workflows that learn
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— good to expert level • Numerical modelling (finite elements or equivalent) — good level • Machine Learning applied to physics — good to confirmed level • Materials thermodynamics — good level
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integrating transcriptome, chromatin access and transcription factor binding datasets at bulk and single cell resolution with the aim to connect these profiles with the underlying regulatory networks, and
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on model papers using a dedicated micro-tensile machine coupled with 3D real-time in situ observation using synchrotron X-ray microtomography (ESRF). • 3D Image analysis routines will be used to identify
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for the day-to-day management and administration of the student placement element (c. 300 students) of the programme in co-operation with 100+ partner settings. The appointee will also be responsible
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beginning Fall 2027. The ideal candidate should be proficient in theatrical building techniques, woodworking, welding, rigging, and computer aided drafting, and possess strong project management and
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of Theory of Machines and Robots at the Faculty of Power and Aeronautical Engineering at the Warsaw University of Technology, which shall be the primary place of employment as defined by the Act of 20 July
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the University of Kansas Medical Center (KUMC) is seeking a highly motivated Research Technician to join the laboratories of Dr. Kalyani Pyaram (https://www.kumc.edu/kpyaram.html) and Dr. Stefan Bossmann (https
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techniques along with machine learning–enhanced strategies for simulating coupled interactions in complex living systems. Project details: 1)“NEw generation MEthods for numerical SImulationS – NEMESIS”, Grant