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part of our team, you will leverage state-of-the-art single-cell, spatial and organoid technologies in a collaborative and interdisciplinary environment. Research focus We welcome candidates with a
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shorelines, reduce wave energy, restore habitats, and improve biodiversity. As lead institute for WP2: Field implementation and performance evaluation, NIOZ will coordinate: · Design and deployment
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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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, 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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In this Postdoc you will investigate methods for risk-aware navigation among decision-making agents, using learning and optimization, and apply them to self-driving cars and teams for quadrotors
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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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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