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project). Job Requirements • A strong foundation in mathematics, particularly in probability and optimization. • A PhD degree (or close to PhD completion) in engineering or management science degree
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single‑photon performance. - Run theoretical simulations (FDTD or equivalent) to optimize structures. - Publish results, support grant deliverables, and collaborate/mentor within the team. Job Requirements
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of samples. Prepare, mount, and align samples for CT scanning. Optimize scan parameters (voltage, current, exposure time, resolution) to achieve required image quality. Perform system calibrations and routine
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for transition to practice. Topics include, but are not limited to, robotics and automation in aircraft turnaround, digital apron connectivity, optimization of ground service equipment, process mapping and
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profiles to obtain optimal disease resistance. The work is linked to other work packages related with disease resistance and metabolomics and requires strong collaborative and interdisciplinary skills. Key
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conditions. 2. Hydrodynamic and Fluid Structure Interaction Modeling Perform Hydrodynamic simulations to optimize the design and performance of floating breakwaters. Develop models for stability assessment
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with team members to ensure completion of deliverables. Lead the design, construction, and optimization of synthetic biological systems and enzyme engineering workflows. Execute advanced molecular
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aims to improve electrodialysis (ED) for REE separation by developing advanced membranes and integrating AI-driven optimization techniques. By combining materials innovation with machine learning
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Responsibilities: Develop and optimize strategies for multiplex CRISPR-Cas genome editing in Brassica Design, construct, and validate CRISPR-Cas vectors for efficient gene editing Generate edited Brassica plants
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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