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relevant stakeholders. The requirements are used to design a novel domain-specific ontology that mathematically captures relevant worker characteristics and their relations regarding employee competencies
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application will receive fair consideration. Challenge. Change. Impact! The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined
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about making such a platform effective by using mathematical modelling and simulation together with a consortium of universities and industrial partners? Then this PhD position might be what you have been
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sharing in digital platforms can help achieve CO2 emission reductions while better matching supply and demand? Are you enthusiastic about making such a platform effective by using mathematical modelling and
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Operation (AISO) is a collaboration project in which DSO Alliander will work together with the TU/e departments of Electrical Engineering (Electrical Energy Systems group) and Mathematics & Computer Science
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in which DSO Alliander will work together with the TU/e departments of Electrical Engineering (Electrical Energy Systems group) and Mathematics & Computer Science (Interconnected Resource-aware
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fair consideration. Challenge. Change. Impact! The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each
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groups in, for example, the USA, Canada and Switzerland. Our ‘computational immunology (link is external) ’ team members have diverse backgrounds - ranging from computer science, mathematics and
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of this position is the theoretical foundation of statistical machine learning, with applications to satellite-based imageries. Candidates are required to have a strong background in mathematical statistics, signal
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the teaching efforts, including supervision of Bachelor and Master students. Requirements Specific Requirements You have: A MSc degree in physics, applied mathematics or a closely related discipline; A creative