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understanding of non-stationary complex systems through theoretical analysis and numerical simulation develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time
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, Oxford, Leeds, Reading, and Birmingham) and international (Utrecht University, ETH Zurich, Université Catholique de Louvain, etc.) scientists to use new modelling resources and methods to elucidate drivers
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mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering
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. To address these questions, we combine a series of interdisciplinary approaches ranging from experimental embryology and fluorescent microscopy to mathematical modelling. The lab is highly interdisciplinary
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Applications are invited for a Research and Innovation Associate in the atomic astrophysics group, Department of Applied Mathematics and Theoretical Physics, University of Cambridge. The successful
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collaborative research environment. Education, Qualifications and Experience We are looking for outstanding candidates with a PhD in physics, electrical engineering, applied mathematics, computer science, or a
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 2 days ago
to design novel anticancer treatments. In our studies we use human and mouse cancer cell lines and syngeneic as well as xenograft tumour models in mice. We also use 3D cell cultures, co-culture techniques
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physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining
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Postdoc Impact of Computational Infrastructures on Public Institutions and Administration of Justice
public institutions in the justice sector. The project will seek to understand how software production -- the practices, economic models and material conditions necessary to deliver digital services
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techniques may be employed to support the modeling of uncertainty, along with the formulation and resolution of planning problems using stochastic optimization methods. Key Responsibilities The selected