34 Design-"https:" "https:" "https:" "https:" "https:" PhD positions at Delft University of Technology (TU Delft)
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-wide traffic prediction Design physically consistent and interpretable machine-learning methods for dynamic traffic systems Test and validate prediction models using large-scale real-world traffic data
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exceptional opportunities for innovation and collaboration. Requirements Master Degree in Physics, Applied Physics, Electrical Engineering, or a closely related field. Strong background in quantum science and
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compared to "classical" on-body sensors - design techniques for intra-oral medical sensors are much more stringent than for on-body sensors. For reference please read the following article https://dl.acm.org
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EU Commission and the European Environmental Agency efforts on climate adaptation, including EUCREA2, European Climate Adaptation Plan and integrated framework for European climate resilience and risk
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towards addressing the main challenges in the field by working on experiments involving integrated photonics and color center qubits. You will focus on device design and characterization, delving
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Annaland). Your work will start with the design, modelling and evaluation of resistive heating concepts in collaboration between T.EN, NEM, TU/e, and TNO. A theory review will be performed jointly, resulting
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maritime applications. At TU Delft, you will design and operate unique thermo-hydraulic experiments that directly contribute to the safety and deployment of advanced reactor technology. You will work in an
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to privacy-preserving models for crop breeding? Join the Pattern Recognition and Bioinformatics section and work at the interface of model design and biological applications. Job description Genome sequence
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common considerations like bias and fairness. Second, you will also design methods to systematically evaluate various models against these established standards and values. This contributes
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(such as compartment models and CFD simulations) to model large-scale animal cell culture in bioreactors, and use your models to design and develop scale-down systems for cell culture that mimic