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light/heating modules, and selection and sorting routines. Guided by machine learning, we will perform directed evolution experiments where we optimize the synthetic genome that encodes for a biological
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-up. In the ZonMW-funded AI for EVAR project, we develop multi-modal models for optimized selection of treatment before, and follow-up after EVAR. You will implement and advance multimodal deep learning
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optimize the synthetic genome that encodes for a biological function such as shape manipulation. Next to all this, the candidate will also do research on entropic segregation of synthetic genomes by testing
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, rental platforms, and production systems—where decision-making must balance conflicting objectives, leverage real-time data, and ultimately support sustainable profitability. Examples include optimizing
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developing morphing surfaces enabled by Shape Memory Alloys (SMAs). These adaptive winglets are designed to optimize aerodynamic performance by responding to temperature variations and incorporating active
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Organisation Job description Postdoctoral position: ManufActuring contRol Sonicare (MARS) Due to the complexity of the assembly process anomalies can occur, that lead to unplanned downtime and sub
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Organisation Job description Postdoctoral position: ManufActuring contRol Sonicare (MARS) Due to the complexity of the assembly process anomalies can occur, that lead to unplanned downtime and sub
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. The focus involves expertise in energy modeling, optimization and analyzing diverse energy mixes, primarily emphasizing hydrogen-based systems. As we move toward cleaner energy systems, the way we plan and