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interested in this position, please click 'apply now', answer to the shortlisting questions and submit a copy of your CV. For any informal inquiries, please contact Fernando Perez-Cota at fernando.perez-cota
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 8 days ago
simulations using Abaqus software; solid knowledge in the mechanical response of polymeric materials; knowledge of the mechanical response of adhesives under fatigue loads; scientific papers (published
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-doctoral researcher to work on Computational Fluid Dynamics (CFD) simulation in the urban wind and thermal environment project. Position is commencing in June 2025. This posting will remain open until a
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simulation-based inference for cosmology Neural emulators / surrogate models for accelerated forward modelin Differentiable simulations and probabilistic programming for end-to-end pipelines Robust uncertainty
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”): Physics-Guided AI for Climate or Earth System Model Downscaling Global climate and earth system models yield massive simulations at low space-time resolutions and are subject to uncertainties resulting from
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cosmological magnetohydrodynamic simulations, including, but not limited to, dust properties, cosmic rays, and mock infrared and radio observations (i.e., ALMA, JWST,SOFIA, VLA, SKA). The ultimate goal is to
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simulations, including, but not limited to, dust properties, cosmic rays, and mock infrared and radio observations (i.e., ALMA, JWST,SOFIA, VLA, SKA). The ultimate goal is to characterize the evolution and role
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using advanced techniques like small-angle neutron scattering SANS and flow-induced polarized-light imaging (birefringence) Develop a novel experimental and simulation framework to explain, model, and
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. Experience of presenting research to groups with wide ranging experience of research, within and beyond academic settings. Downloading a copy of our Job Description Full details of the role and the skills
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. Design and execute experiments to evaluate 5G systems and use-case performance through simulations, emulations, physical testbeds, and commercial networks. Collect and analyze KPIs such as throughput