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an integrated model of plant carbon allocation, based on eco-evolutionary optimality theory. The PDRA will be explicitly responsible for designing an approach to evaluate and model carbon allocation to non
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, analysis, and optimization. The goal of the project is to develop methods for the synthesis and analysis of systems producing renewable fuels and chemicals; and use these methods, in collaboration with other
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of the additives in phosphate ore processing. Study the interaction mechanisms between additives and mineral surfaces using surface chemistry and interfacial analysis techniques. Contribute to the optimization
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from Marrakech. Department: Green Tech Institute (GTI) Position Identification Job Title: Logistics Optimization and Environmental Resilience & Sustainability Integration Officer – JORF-Lasfar Entities
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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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singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed parameters. Current areas of interest include Potential Theory, Harmonic Analysis
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Association. WIAS invites applications as Research Assistant Position (f/m/d) (Ref. 25/14) (PostDoc) in the Research Group Nonlinear Optimization and Inverse Problems (Head: Prof. Dr. D. Hömberg) starting as
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probes. The postdoc will play a key role in designing and optimizing imaging devices, integrating hardware and software, and collaborating with a multidisciplinary team of clinicians, engineers, and basic
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. The research focus of our group is on parallel computing, supercomputing, and performance tuning and optimization of advanced applications. Our team currently consists of 10 scientific and 3 administrative
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condensation-based system optimization. The positions are designed for early-career scientists with a strong background in thermal sciences, energy systems, or water technologies, and a demonstrated ability to