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PhD position in Economics as part of the renewed RESA Chair, dedicated to studying the future of natural gas networks in the context of the European energy transition. JOB DESCRIPTION The PhD candidate
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protein foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and
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to guide the selection of optimal functionalization strategies. Simulating gas adsorption (CO, O₂, H₂, NOₓ, etc.) on ND surfaces to predict binding configurations and IR spectral signatures, enabling
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to design optimized growth media for animal cells lines used in biotechnology. This work involves the development and application of genome-scale metabolic models to characterize cellular growth and
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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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and economy that respect people and their environment. We are looking for our future postdoctoral researcher in optimization for statistical learning to join the Image, Data, Signal (IDS) department
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and improve the robustness of the analysis, optimization, modelling and inverse design of microwave components and systems. Key Responsibilities: Conduct independent and collaborative research on AI
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well as optical and laser setups Develop and implement protocols for quantum computing and quantum sensing experiments Collaborate closely with a multidisciplinary team of PhD Students, technicians, and engineers
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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