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                Wageningen University & Research (WUR) highly values diversity and inclusion because we believe that different insights lead to innovative solutions. We create a work environment where everyone feels welcome 
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                are to: Develop a probabilistic machine learning tool that can determine the optimal grinding parameters for different scenarios based on required material removal depth and rail grade. Generate data through 
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                ? Are you interested in how coordination, dynamic pricing and redistribution may affect food waste? Do you have a passion for applying optimization and simulation techniques to reduce food waste and make 
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                (Montanuniversität Leoben - MUL, Austria) DC6: Compositional footwear analysis: Compositional analysis and optimized treatment pathways (Technical University of Denmark - DTU, Denmark) DC7: Compositional sorting 
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                different approaches to develop fluoride fiber components and build optical benches to validate their performances. The second objective will focus on the design, realization and optimization of compact fiber 
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                by animal models that optimize for single causes or treatments, without reflecting the diversity and complexity seen in patients. This Marie Skłodowska-Curie Actions (MSCA) doctoral network PhD project 
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                engineering starts from use cases (typical and exceptional) and various system scenarios (different operating modes, failures). This will require the development of suitable domain-specific languages (DSLs 
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                the initial phase, you will develop and optimize physical and numerical models describing the electron optics of the complete probe-forming column, including the multi-beam generation unit, imaging lenses 
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                three main phases. In the initial phase, you will develop and optimize physical and numerical models describing the electron optics of the complete probe-forming column, including the multi-beam 
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                the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics