20 machine-learning-"https:"-"https:" Postdoctoral positions at Nature Careers in Denmark
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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biogeochemical modelling and data-driven machine learning approaches at an ecosystem scale to improve our understanding of the fate of nitrogen fertilizers applied to agricultural soils. This understanding will be
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-constrained machine-learning (ML) models in simulations of turbulent flows. You are expected to contribute to research and development in data-driven methodologies for turbulence modeling in LES (i.e., wall and
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Are you interested in neuromorphic spintronic and can you contribute to the development of the project? Then the Department of Electrical and Computer Engineering invites you to apply for a one year
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one of the following topics: extended reality (virtual reality, augmented reality) human-computer interaction computer vision The capability to successfully conduct research projects in
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. These variables include cover crop growth, crop nitrogen, yield, and tillage practices. You will develop novel algorithms to integrate data-driven machine learning and process-based radiative transfer models
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Engineering and Materials & Process Engineering. Close collaboration with our neighbouring Departments (Biosciences, Food, Agroecology, Chemistry, Mechanical Engineering, Electrical & Computer Engineering
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helium droplet machines. Also, you will be jointly responsible for making sure that various experimental apparatus in the laboratories are maintained and serviced with timely care. In particular
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(FTEs) and 8,300 employees, and has an annual revenues of EUR 935 million. Learn more atwww.international.au.dk/
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- to learn more, please visit our website: ECONOVO - Center for Ecological Dynamics in a Novel Biosphere - Aarhus University (au.dk) Expected start date and duration of employment This is a 2–year position