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design specific constructs to edit transcription factor genes and their target promoters, and analyse the effects of optimized gene expression regulation on plant performance under optimal and field-like
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expertise, preparing them optimally for future challenges.
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, and actuator design. Your main tasks will include to: Design robotic components and actuators that respond to chemical signals. Optimize geometries and model deformations to match timescales of chemical
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: Develop AI-assisted experimental workflows for oxide semiconductor deposition, aiming to accelerate process optimization and unravel new process–property relationships, and contributing to an EU Horizon
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Making Under Deep Uncertainty; experience using Multi-objective Optimization; experience working with stakeholders on climate adaptation decision-making; experience in river, coastal, or delta systems
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. Helpful criteria: experience with Dynamic Adaptive Pathways Planning or other methods from Decision Making Under Deep Uncertainty; experience using Multi-objective Optimization; experience working with
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: - A PhD degree in optimization or systems and control theory. - A strong mathematical background and an interest in conducting theoretical research. - A proven track record. - Excellent English
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the effects of optimized gene expression regulation on plant performance under optimal and field-like conditions at the Netherlands Plant Eco-phenotyping Centre. Your research aims to improve tomato Zn and Fe
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optimized for a seamless continuum of education. The Teaching Academy of the TU Delft has identified this integration, engineering students’ progression and retention of knowledge & skills, as one
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these components, coordinate their fabrication and integration, and lead the commisioning and optimization of the experimental instrument. Your work will span electron-optical design, electromagnetic and ray-tracing