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optimally interact with a varied population of diverse audiences. We are looking for someone who shares our values and who will support the mission of the university through their work. Qualifications: PhD in
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validated at CPPM. In parallel, the candidate will improve data reconstruction algorithms by using artificial intelligence techniques (e.g. neural networks), to optimize the separation between signal and
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appliances). Explore the integration of large language models and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes. Publish research
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IWRI - Postdoctoral Researcher in Bioinspired Circular Conversion of Multi-source Biomass Feedstocks
for enhanced water–nutrient coupling and improved plant nutrition. Design, synthesize, and optimize functional materials derived from renewable feedstock (marine and lignocellulosic) for applications in water
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 3 months ago
development of methods for chiral analysis of amino acids using CE-MS, and optimization of limits of detection. This initial research will utilize a newly installed SCIEX CESI 8000 capillary electrophoresis
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experience in development of user interfaces, code debugging and optimization is also meritorious. It is considered a merit to have previous experience within EU-funded collaborative international projects
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reactions at the air-water interface to unlock high-voltage reaction pathways. Your key responsibilities will be to: Lead a Flagship Project: Drive the design, execution, and optimization of plasma
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communication skills in English, 4. Programming skills are desirable (Julia, Python, convex optimization and semidefinite programming). Task description: The project focuses on analytic and geometric properties
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to several aspects of the project, including: -design, development and validation of experimental optical microscopy setups -modelling and optimization of experimental parameters -adaptation and further
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possess extensive experience in developing deep learning algorithms Excellent programming skills (e.g., proficiency in Python, PyTorch, OpenCV) and experience in deep learning model optimization and