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embedded in the Astrophysics Department at the Institute for Mathematics, Astrophysics and Particle Physics (IMAPP) at Radboud University (Nijmegen, Netherlands). We are a very tight-knit and socially active
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(biology, biochemistry, chemistry, physics, bioinformatics, mathematics, or related fields). The academic performance should be excellent (rank at or near top of class). Doctoral candidates register with
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MPhil) in Economics, Econometrics, Finance, Mathematics, Business Administration, or a related field. Graduation from a two-year Master’s programme (120 ECTS) is an advantage. Research skills – Knowledge
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decision support tools. These mathematical models help battery owners make strategic decisions, such as when to charge and discharge or on which electricity markets to focus. In this PhD trajectory, we
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science and information science techniques. Several areas of computer science and mathematics play important roles: data management and engineering, machine learning and data analytics, signal and image
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background in mathematical derivation and implementation of numerical methods for multiscale field problems. In addition, experience with high performant computing languages is desired, while knowledge
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, mathematics, physics, remote sensing and machine learning. Experience and skills · Strong interest in modelling, model-data integration, and remote sensing data analysis. · Knowledge of programming, remote
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batteries enter the power system, requires state-of-the-art decision support tools. These mathematical models help battery owners make strategic decisions, such as when to charge and discharge or on which
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skills. Strong academic background – You hold (or will obtain by winter 2025/2026) a Master’s degree (MSc or MPhil) in Economics, Econometrics, Finance, Mathematics, Business Administration, or a related
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, Regional Science, Economic/Quantitative Geography, or Mathematics knowledge and experience in spatial equilibrium modeling (e.g., through coursework, thesis work, or previous projects) is beneficial