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overall objective of the PhD work. The key research directions in this project includes: Geospatial and temporal analysis of the transportation dataset Multi-agent system modeling for fleet optimization
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, in particular, the quantum functions and magnetism Optimize the fabrication and mechanism exploration. Job Requirements: PhD in Physics Experience in material and device fabrication Experience in
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multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor
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strong asset. Qualifications: A PhD or equivalent qualification in a relevant field, such as marketing, consumer behavior, psychology, behavioral economics, sustainability science, or related social
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optimization of organic, inorganic, and composite coatings Implementation and optimization of plasma deposition processes at low pressure and atmospheric pressure Characterization of compositional, structural
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candidates will engage in cutting-edge research under the mentorship of leading experts in one of the following priority research areas: Research area 1: Intelligent Structural Optimization using Physics
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the effects of these factors at the tissue level. The position will also involve simulating and optimizing complex models that integrate biological and physical data using advanced methods, such as physics
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Cell Biology and Protein Purification Location: UM6P – Benguerir Contract Type: Fixed term (Postdoctoral Position) Availability: Immediate Required Level: PhD in Cell Biology, Biotechnology, Biochemistry
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, environmental disturbances, aging effects, and calibration issues, which may compromise monitoring and optimization strategies. The objective of this PhD project is to develop methods to ensure reliable
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for atomic oxygen protection Deposit and optimize conformal coatings on satellite-relevant composite and polymer substrates Study the impact of deposition parameters on coating performance (adhesion, barrier