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thermodynamic simulations. The research findings of WERA can be transferred to many other fields of the circular economy. PhD study in WERA takes 4 years in a close cooperation between PhD students and
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particle lifetime. You will combine experiments and simulations (CFD-DEM, population balance modeling) to study breakage behavior, supported by mechanical testing and in-situ micro-computed tomography (µCT
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challenging for classical computing architectures. Some of your responsibilities will include: Design and develop mixed-signal circuits for implementing ONNs. Modeling, simulate and benchmark different
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analog circuits for implementing ONNs for computing. Modeling, simulate and benchmark different computing tasks such as sensor data processing. Explore ONN implementation topology and its energy efficiency
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, experience in statistics and/or register-based research, and how their expertise aligns with the project Curriculum vitae (CV) including publication list Verified copy of doctoral degree certificate
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eólicas flotantes. Laboratory experiments and Computational Fluid Dynamics simulations—particularly using the Smoothed Particle Hydrodynamics (SPH) numerical technique—of the sloshing phenomena occurring
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with the Agroecosystems Modeling Team to collect, simulate, and analyze agroecological data for peer-reviewed publication. Prospective applicants should demonstrate a strong history of publications and
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with the template (available at https://fcsh.unl.pt/faculdade/concursos_para_investigadores /); c) Copy of the candidate curriculum vitae organized in accordance with the system set out in point 7
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of central London. For more information: https://www.kcl.ac.uk/engineering About the role This role will support the delivery of a mesh generation project, funded under a recent major £7m EPSRC Programme Grant
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deliver lectures and simulation and hands on training for robotic surgery. Serve on academic committees and participate in curriculum development for divisional educational programs. Research and