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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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. The Blockchain Specialist will lead the design, implementation, and optimization of the platform’s blockchain infrastructure. This includes developing smart contracts, integrating Hyperledger Fabric and Avalon
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, contributing to innovative projects that drive our mission forward. This involves researching, developing, testing, and processing materials like metals, plastics, and ceramics to improve product performance
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implementation of elastomer adhesives Optimization of formulation for 3D printing and 2D printing Contribute to ongoing ionic liquid formation projects Design and prototype and scalable processing Collaborate with
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nonlinear dynamics in optical systems, particularly fiber lasers. Design, build, and optimize state-of-the-art fiber laser setups to experimentally investigate nonlinear phenomena such as soliton dynamics
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 17 days ago
learning algorithms, as well as the adaptation and optimization of existing tools. This research aligns with CBER’s efforts to enhance the development, operations, and management of FDA’s High-performance
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training on the job, in addition to personal development possibilities and our pronounced vocational training culture. If you wish to optimally combine work and family life or other personal interests, we
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for the persistence of non-dispersible barite sediment. A detailed understanding of these interactions will enable the formulation of optimized dispersion strategies, potentially enabling rigless P&A operations in
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place to study and work. PhD Research Fellow in Organometallic Chemistry and Radiochemistry There is a vacancy for a PhD Research Fellow in organometallic chemistry for the development of new
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, operations research or related field. Additional Qualifications Candidates who have a strong mathematical background in reinforcement learning and/or control (e.g., optimal control, decentralized control, and