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simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative
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equipment. You will join an international multidisciplinary team. You will apply simulation, multi-objective optimization, and data-driven analytics to evaluate and compare material intralogistics handling
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restaurant duties Information gathering for the front of house, back of house team members, and the guest Seating guests to optimize the dining experience, pacing of the service team, and the optimal use
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scalable, cost-effective processes for bulk chemical production of cycloalkanones PhD enrolment: Delft University of Technology DC9: Process development and optimization of dioxygenase catalysed
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University of California, San Francisco | San Francisco, California | United States | about 9 hours ago
. The position partners closely with leaders in IT, Clinical Operations, Facilities, Supply Chain, and Nursing to advance technology standardization, improve uptime and service response, and optimize total cost
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optimization. Prepare manuscripts and publish findings in peer-reviewed journals. Assist in securing external funding through grant applications and proposals. Requirements Ph.D. in Civil Engineering. Minimum
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to methanol. In the first phase, we will engineer PSI and redox enzymes for bioconjugation and optimize the self-assembly process. The stoichiometry will be optimized for efficient light driven reduction
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of scientific reports and deliverables. Preparing financial Audits of projects. Liaising with other departments for the proper implementation of projects. Managing a pool of research laboratories, optimizing
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responsibilities include: Selection and characterization of optimal target proteins and complexes, involving their recombinant expression and purification in bacterial and eukaryotic systems. Characterization
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simulations and data-driven models for optimizing electrolyte formulation. The project involves close interaction with experimental partners in the AFLOW consortium and includes a planned research stay at