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to collaborate with scientific teams at CEA, France. Key Responsibilities: Investigate how plasma shaping influences turbulence in tokamaks, with the goal of understanding and optimizing its role in enhancing
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to etch novel lattice patterns Perform optical characterizations of structures using various optical spectroscopy Collaborate with theoretical researchers in the design and optimization for new fundamental
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/network/circuit patterns Perform characterization of structures using atomic force microscopy and optical spectroscopy Collaborate with theoretical researchers in the design and optimization for new
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solid particle transport. The successful candidate will contribute to the creation of an AI-optimized platform capable of achieving up to 50× speedups in simulation performance, enabling real-time, energy
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to promote SAO programs and activities; analyse and adjust strategies for optimal effectiveness. Create, write, and edit content and messaging for newsletters, websites, publicity emails and promotional
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optimization of these processes to achieve desired material properties and structural characteristics. Key Responsibilities: As part of the candidate's scope of work, they main responsibilities will be focusing
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statistical guarantees, using tools from: high-dimensional statistics, optimization, probability theory, approximation theory etc. The positions will be suitable for candidates with an interest in high
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and internal data to facilitate evidence-based decision making at various levels of the University. Assist to build databases, help to implement data analytics and other strategies to optimize
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management, machine learning, deep learning, and optimization; Proficient in written and spoken English - essential for data analysis and communication with stakeholders Experience in proposal writing and
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Responsibilities: Operate and optimize PVD and CVD plasma-based processes for advanced thin film deposition. Perform oxide and nitride composite thin film deposition, followed by in-depth materials characterization