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your chance to make a significant impact in areas such as: Physical layer optimization Signal processing and software-defined radio prototyping Machine learning for wireless sensing What We're Looking
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are reliable, independent, and organized in delivering with respect to deadlines. You have excellent communication and collaboration skills. In addition: A PhD degree in Computer science, Operations
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supervisory team from the Department of Aerospace Structures and Materials. We are seeking for an excellent candidate who has knowledge on batteries and the desire to learn about aerospace composite materials
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(IDEE) initiative, on the theme “Future Engineering Skills”. You will work in a cross-faculty research team of more than twenty TU Delft staff members, an educational development specialist, PhD student
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. 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. Limited participation in
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. 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. Limited participation in
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. The data acquired 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
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basis for scale up and business model definition in the project. Special attention will be placed on the development of learning curves for novel methanol processes and the development and testing
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anticipation and compensation? For this, we will leverage extensive data from motion capture systems, wearable devices, and other sources from a groundbreaking experiment and we will apply nonlinear learning
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motivating your partners and your team of PhD and MSc researchers to achieve tangible results. You also enjoy interacting and mutually learning from engineers and experts from different fields in academia and