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Field
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Expansion: Implementing the next phase of the project to transition from rigid-body models to sophisticated systems for protein ensemble modeling. Computational Optimization: Resolving hardware-specific
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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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the mentorship of leading experts in one of the following priority research areas: Research area 1: Intelligent Structural Optimization using Physics-Informed Reinforcement Learning Research area 2: AI-Enhanced
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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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. The successful candidate will contribute to the development, optimization, and scale-up of advanced pretreatment solutions for seawater desalination. The selected candidate will join a dynamic, collaborative, and
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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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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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candidates will engage in cutting-edge research under the mentorship of leading experts in one of the following priority research areas: Research area 1: Intelligent Structural Optimization using Physics
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materials, the design and optimization of catalytic reactors, the study of reaction kinetics, and the detailed microstructural and physicochemical characterization of catalysts. The primary objective is to
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well as optical and laser setups Develop and implement protocols for quantum computing and quantum sensing experiments Collaborate closely with a multidisciplinary team of PhD Students, technicians, and engineers