18 machine-learning-phd "Booking" Postdoctoral positions at Delft University of Technology (TU Delft)
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computer vision methods. Design and set up experiments. Deploy your algorithms on machines. Write well-documented code. Prepare demonstrators. Write scientific papers. Guide Master's and/or PhD students
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computer vision methods. Design and set up experiments. Deploy your algorithms on machines. Write well-documented code. Prepare demonstrators. Write scientific papers. Guide Master's and/or PhD students
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with your chip(s) will be analyzed with machine-learning algorithms. You will collaborate with researchers and companies of various disciplines like chemistry, embedded systems, software, signal
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following aspects will help you stand out: Knowledge of data-driven control algorithms, biomechanical modelling, system identification, machine learning, control theory. Prior experimental experience on human
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development specialist, PhD student and student assistants. The group works on four work packages and conducts educational research with respect to: (1) finding and analysing current good practices and helping
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. Affinity with physics-informed machine learning, computational VVUQ (verification, validation, and uncertainty quantification), experimental device testing, cardiovascular (patho)physiology, and strong and
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the equivalent of multiple computer monitors to work with, an otherwise unattainable feat within the confined space of a car. With these considerations in mind, this project aims to investigate: How should a VR
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results. You also enjoy interacting and mutually learning from engineers and experts from different fields in academia and industry. You also have: A PhD in Electrical Power Systems or Power Electronics. A
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simulation and physical testing in the lab and field. You will work with a team of junior and senior researchers, including PhD candidates and professors, as well as engineers who will help with the practical
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partners. Within the ASM department there is currently a larger community of PhD candidates and post-docs working on fatigue and damage tolerance of aerospace materials and structures. Tasks and