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receive intense training on formulating their research question. The courses introduce methods of law and economics research, such as econometrics, game theory, experimental economics, and behavioural law
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if they demonstrate strong relevant skills. Coursework or strong background in computational mechanics / FEM, numerical methods, and scientific programming. Exposure to machine learning / data-driven modelling and/or
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the allegations presented and, if it keeps the exclusion decision, notifies the excluded candidates by email with delivery receipt, subsequently beginning the application of the selection methods to the admitted
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC-Chapel Hill
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC-Chapel Hill
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variables, both historic and future, is also an essential ingredient to move past the rear-mirror approach of standard classical forecasting methods. The project will focus on the use of transformer based
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the working group focus is the analysis of nonlinear wave and dispersive equations. Our ideal candidate already has experience with methods of PDEs, in particular Harmonic Analysis, and is able to actively
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includes, for example, the areas of labour markets, wellbeing and welfare, macro-financing, globalisation and econometrics. The position is specifically at the AI-Econ Lab at Örebro University (https
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. The candidate should be willing to learn basic physical and numerical modeling methods. The successful candidate will demonstrate commitment to the timely completion of deliverables and strong potential to work
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component, particularly magnetic components, Optimization and surrogate-modeling in Python, Integration of machine learning and numerical methods. We encourage applications from candidates with a strong