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patient scheduling and to ensure optimization of resource utilization ? Maintains confidentiality of Protected Health Information (PHI) ? Possesses strategic thinking skills, the ability to learn rapidly
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well-integratedwithin the TU/e landscape. Where to apply Website https://www.academictransfer.com/en/jobs/358778/senior-full-stack-data-engineer… Requirements Specific Requirements A strong background in
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staff position within a Research Infrastructure? No Offer Description Do you want to contribute to finding practical solutions for optimized nutrient adequacy, when shifting towards more plant-based diets
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Intelligence Architect will oversee the data structures and the complete data processing pipeline between the in-house platforms and SAP and other external data feeds. This is one of two BI Architects within
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PostDoc/Senior Scientist - Process and Plant Design in the Field of Liquid Organic Hydrogen Carriers
of multiphase reactions Assessment of different process configurations and application scenarios, including techno-economic evaluation Investigation of process intensification opportunities through optimized
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algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical
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-composants (structure cœur et peau ou côte-à-côte par exemple), - le positionnement et la connectique, grâce à l’impression jet d’encre et à la broderie, des capteurs. Nous proposons de développer des textiles
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. Spectral dynamics of the conditional Lyapunov vector (https://www-cambridge-org.sheffield.idm.oclc.org/core/journals/journal-of-fluid-mechanics/article/spectral-dynamics-and-spatial-structures
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operation. To design optical metasurfaces and material platforms exhibiting time-varying responses. Using adjoint-based optimization and spatial structuring, to realize complex time-modulated medium dynamics
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for Artificial Intelligence. The position aims to strengthen methodological and algorithmic work on one or more of the following axes: Optimization and learning on very large models and datasets, improving