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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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-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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: Data management and programming (e.g., Python) Life Cycle Assessment (LCA) Multiple Criteria Decision Analysis (MCDA) Multiple Objective Optimization (MOO) In case you do not have all the desired
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work packages that include the elicitation, expression, and structural elucidation of novel antibiotic candidates, as well as lead generation and optimization. In the end, the research is projected
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Criteria Decision Analysis (MCDA) Multiple Objective Optimization (MOO) In case you do not have all the desired expertise, you demonstrate strong motivation to develop yourself in those areas. You have
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, which integrates healthcare, research and education on pediatric cancer, in a single location in Utrecht. Our institute aims to provide the highest level of care for all children with cancer, with optimal
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Criteria Decision Analysis (MCDA) Multiple Objective Optimization (MOO) In case you do not have all the desired expertise, you demonstrate strong motivation to develop yourself in those areas. You have
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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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Discrete Element Method (DEM) models to simulate the charging and formation of multi-component, poly-disperse burden mixtures in the blast furnace. The goal is to optimize burden structure and permeability
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-robot interfaces, optimal control, and Robot Operating System (ROS). TU Delft (Delft University of Technology) Delft University of Technology is built on strong foundations. As creators of the world