33 algorithm-development-"Prof"-"Prof" PhD positions at Delft University of Technology (TU Delft)
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, collaborating with leading developers? Job description Wind energy is a critical component of the energy transition. Although it is one of the fastest-growing renewable energy sources globally, the targeted
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storage in our energy system? Contribute now to quantifying the economic impact of different technologies for heat storage. Job description In PUSH-IT we developed a unified framework for the combined
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Are you enthusiastic about quantum physics and its foundations? Do you want to explore the transition from the classical to the quantum world while developing real-world applications in quantum sensing
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maintain robustness through evolution using live-cell imaging and multiscale modelling. Job description Cells are often described as intricate machines where proteins work together in a tightly coordinated
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the potential to advance the development of multi-sensory interactive technologies and the innovative design of immersive systems, as well as the modeling of intelligent adaptive behavior, thereby affecting
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schema maritime innovation projects (subsidieregeling maritieme innovatieprojecten). The project leader is Advanced Electromagnetics BV. We also collaborate with Allseas, who are developping an SMR
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and control with unprecedented sensitivity. You will carry out pioneering research at the intersection of two distinct areas of physics. You will develop a chip-based levitation system that can be
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investigated. These insights will form a key part of the ‘build, test, learn’ cycle to accelerate the development of further biocatalysts for related ‘new-to-nature’ reactions. The reults will reveal the
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Join us and shape the quantum devices of tomorrow! Job description We are seeking for a motivated PhD candidate to join us at the Scappucci Lab and help us contribute to the development of next
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that the developed methods are robust, adaptable, and grounded in real-world practice. You will apply advanced techniques such as agent-based modelling, quantitative resilience assessment, and risk analysis to