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application of dynamic mathematical modelling approaches to simulate the spread of infectious agents in human populations. The Unit coordinates the Interdisciplinary Center of Mathematical Modelling
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survey evidence (including longitudinal/panel designs), contextual data and—when relevant—qualitative materials. Job position requirements (skills/languages/required experience) PhD in urban studies
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for multiscale computational modeling and the design of functional materials for organic electronics. The scope of duties will also include collaboration with students and PhD candidates, preparation of scientific
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-Doctoral Associate (PDA) to engage in cutting-edge research on channel modeling and characterization for communication and sensing in emerging spectrum for 6G and beyond, with a focus on the FR3, THz and
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; Model relevant processes (e.g., bedload sediment transport, sediment connectivity); Mentor MSc and BSc students (potentially also PhD researchers); If desired, take on teaching responsibilities in
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Objectives: The goal is to investigate super-Planckian radiative heat transfer phenomena in nanostructured media and metamaterials. Build models of nanostructured radiative heat emitters and receivers. Perform
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both natural and highly polluted conditions, and how these processes can be represented in models to theoretically assess the potential of cirrus cloud thinning as a climate intervention strategy. The
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to apply for a post-doctoral position(s). The areas of interest include grand unification, supersymmetric and extra-dimensional models, flavor physics and CP violation, baryon and lepton number violation
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. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness
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perturbation modelling. The ideal applicant brings not only strong technical skills, but also interdisciplinary knowledge on the subject. More precisely: PhD degree in computer science, machine learning