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Infrastructure? No Offer Description Are you fascinated by using mathematics to solve fundamental questions in ecology? Do you thrive on translating abstract models into biological insight? If so, this PhD
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Your job Are you fascinated by using mathematics to solve fundamental questions in ecology? Do you thrive on translating abstract models into biological insight? If so, this PhD opportunity could be
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For more information about the position, please contact Prof. dr Liesje Mommer, via +31 6 20921336 or email: Liesje.Mommer@wur.nl . Questions about the procedure? Get in touch with Jessa Rozema, Corporate Recruiter, via jessa.rozema-stol@wur.nl Ready to apply? Click on the application button...
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machine learning model flag a certain bank transfer as potential money laundering? The aim of this project is to develop new mathematical techniques that can explain AI's internal mechanisms by generating
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characteristics make a machine learning model flag a certain bank transfer as potential money laundering? The aim of this project is to develop new mathematical techniques that can explain AI's internal mechanisms
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potential money laundering? The aim of this project is to develop new mathematical techniques that can explain AI's internal mechanisms by generating understandable explanations from machine learning models
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The Mathematical Institute is looking for a PhD candidate to join the project Patterns in Random Media under the supervision of Hermen Jan Hupkes PhD: Patterns in systems with noisy coefficients
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Apply now The Mathematical Institute is looking for a PhD candidate to join the project Patterns in Random Media under the supervision of Hermen Jan Hupkes PhD: Patterns in systems with noisy
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, the scattering geometry can be reconstructed mathematically (this is called inverse scattering). This requires both sophisticated mathematical models and efficiently implemented algorithms. In the case of wafer
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Modeling: Develop detailed mathematical models to describe and predict polarization behavior in array antennas. These models will serve as a foundational tool for understanding key factors affecting