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reproducible pipeline integrating epidemiological, vaccination, intervention, and variant data, with a temporal structure suitable for time-dependent modelling. (ii) Portfolio of expert models. Develop and fit a
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Post-Doctoral Associate in the Division of Engineering (Mechanical Engineering) - Dr. Mohammed Daqaq
and experimental, in the broad field of nonlinear mechanics. Preference will be given to applicants with expertise in machine learning, wave propagation, metamaterials, and/or fluid–structure
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that are relevant to their areas of interest. Our training program will include a comprehensive mentoring program; structured CPC Fellows research in progress meetings; and additional training activities focused
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Appointment Term: Open-ended Appointment Start Date: ASAP Group or Departmental Website: https://hinshawlab.stanford.edu/(link is external) How to Submit Application Materials: Please submit your application
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. Read more about the ABIS Project here: https://www.sdu.dk/da/nyheder/nnf_bevilling_dannelsesbegreb The position The position contributes to the theoretical and innovative work of the ABIS project, which
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that you quickly settle into the team and are given structured training for your tasks. We also support you from the very beginning and make your start easier with our Welcome Days and Welcome Guide Fair
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 2 months ago
project findings, focus the work either on: application of existing theoretical frameworks in solid‑state physics, electronic structure, lattice dynamics, and quantum transport, or development of new
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epidemiologic methods, and injury prevention science. They will have structured opportunities to develop their proposal writing, methodological skills, and content expertise in the science of injury and violence
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Clearinghouse (https://flhousingdata.shimberg.ufl.edu/ ). The Postdoctoral Associate will contribute to an active research agenda examining how inequality shapes differential disaster risk and housing outcomes
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logical choice for its staff and students. YOUR TASKS At least 70% of your assignment will be spent on academic research. You work closely with the team involved in the ERC project DAEDALOS (https