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New York University in Abu Dhabi, Mathematics/Science Position ID: NYUAbuDhabi -POSTDOCTORALFELLOW [#26802] Position Title: Position Type: Postdoctoral Position Location: Abu Dhabi, Abu Dhabi
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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supervision of Dr. Anita Schuchardt to conduct an NSF funded research project related to instructors’ and students’ sensemaking of mathematics in sciences. In general, the post-doctoral researcher will be
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simulation, with strong skills in mathematics Highly proficient in Matlab/Simulink for system modelling Experience with (stationary) battery storage systems is required Prior exposure to HIL systems is a
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of the near critical Ising model, or the massive Thirring model. Qualifications We are looking for applicants with a PhD in mathematics or theoretical physics, with experience in mathematically rigorous
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soon as possible. The position is within the Math+ project "Anisotropic microfluids -- fluctuations, control, effective models and their numerics “. Here, we study anisotropic microfluids and the effect
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agencies and other national laboratories. The candidate will develop power systems and electricity market modeling, and analytics tools that support energy, economic, and financial analyses of power grid
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external) ) is hiring a post-doctoral researcher for at least one calendar-year (with the possibility of an additional year) to work on a variety of projects requiring expertise in large scale mathematical
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, Mathematical Modelling and Self-Learning Systems, and Data Science and Analytics as well as a strong PhD programme. The Mathematics Group comprises nine permanent members of staff working across the areas
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for the Quantification of Domain Uncertainty Propagation in Cardiovascular Models" as part of the Berlin Mathematics Research Center MATH+. The purpose of this position is to conduct research in the field of model