10 modelling-complexity-geocomputation PhD positions at Delft University of Technology (TU Delft); Delft in Netherlands
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batteries enter the power system, requires state-of-the-art decision support tools. These mathematical models help battery owners make strategic decisions, such as when to charge and discharge or on which
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We’re looking for a motivated PhD student with a Master’s in Robotics, Control Theory, Applied Math, or Mechanical Engineering eager to work on model-based control of soft robots Job description We
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suggested patches, easier to understand using interpretable AI using state machine models and LLM-based explanations. You will provide the community with the first tool for self-healing software that is
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centers. With these controlled systems of coupled spins, we aim to answer questions such as: How does decoherence emerge in complex quantum systems? Can we emulate and study complex many-body physics? Can
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networks, long-term quantum information storage, and complex quantum simulations. While these demonstrations point to a wide range of applications, critical challenges regarding color center physics and
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collaborative labs develop and deploy the latest technology, including sensing, data analytics, modelling, simulation, artificial intelligence, and machine learning, and function as dynamic hubs where innovative
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such as model-based optimal control and nonlinear reset control. The goal is to push beyond commercial standards, achieving unprecedented sensitivity by overcoming mechanical and interferometric noise
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also offers a fascinating and unexpected alternative strategy: by lining membrane pores with intrinsically disordered proteins (IDPs) to guard the gap. The best example is the nuclear pore complex (NPC
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Join us to create new smart molecules for imaging of complex mechanics. Job description Soft matter such as polymers and hydrogels are incredibly versatile materials. Their use in metamaterials and
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resource-use efficiency of the greenhouse, e.g., maximizing the kg of food produced per unit of energy, requires growers to consider a complex relationship between the short- and long-term consequences