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transformer-based architectures to create a powerful tool for understanding and predicting bacterial genomic sequences. The successful candidate will play a key role in developing and optimizing these models
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dedicated to advancements in sustainable energy through innovative research and training. Our focus lies in the design, development, and optimization of inorganic materials for various sustainable energy
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, simulation and optimization of the phosphate value chain processes. In terms of research, the candidate will reinforce the team of the CBS department. His/her experience and expertise should enable him/her
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Postdoctoral Researcher positions to support its growing research portfolio in renewable energy-driven water production and condensation-based system optimization. The positions are designed for early-career
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optimizing treatment processes that use calcium carbonate-rich materials extracted from phosphate mine waste. These materials will be assessed for their capacity to neutralize acid gases (SOx, HF) emitted from
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industrial processes. Optimization of Industrial Processes: Utilize nuclear techniques to enhance the efficiency and sustainability of industrial processes. Collaborate with production teams to integrate
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algorithms for battery management systems (BMS) in electric mobility and micro mobility applications. The primary focus will be on creating and optimizing state-of-charge (SOC) and state-of-health (SOH
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characteristics, and flight dynamics. Develop and enhance computational fluid dynamics (CFD) models, wind tunnel testing techniques, and aerodynamic analysis and optimization simulation tools. Investigate aircraft
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formulation development and product optimization. Ability to design and evaluate the performance of unit operations. Experience in physicochemical characterization techniques (rheology, particle size analysis
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the estimation of some of the significant water balance components. The candidate is expected to seek an optimal integration between the physical representations of the various processes and the computing power