102 power-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in Netherlands
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- Delft University of Technology (TU Delft)
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households or companies. But energy data is not like images or text: it consists of time series living on a physical network, governed by power-flow equations. Off-the-shelf generative models produce data
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power, latency, and memory bandwidth issues with reliable fault detection. Information As part of the REACT Marie Skłodowska-Curie Actions (MSCA) Doctoral Network initiative, we are seeking a highly
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. Ability to develop, understand, and critically evaluate machine learning research software, preferably using Python and PyTorch. An interest in foundation models, self supervised learning, multimodal
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, ultra-low power analog to digital converters, software-defined radio, mixer-first receivers, N-path filters and sub-sampling phase locked loops. The group is a world leader and initiator of many new
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). Full-waveform inversion is a powerful approach to such problems, but its practical use is limited by the strong nonlinearity of the inverse problem and by the computational cost of repeatedly solving
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used to model leukodystrophies because of their genetic tractability and the ability to study early brain development. To strengthen their use as preclinical models, this project will develop outcome
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implementation and application. Basic knowledge and a keen interest in physical problems (especially inverse problems) and scientific applications. Strong programming skills (preferably Python). Ability to work
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obtaining your PHD. A key aspect of this position is your curiosity and ability to explore and apply applied research in a practical context. You continuously investigate emerging digital tools, analyze
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the ability to think freely - a broader mind. Maintaining an entrepreneurial perspective and concentrating on diversity, significance and humanity, we work on sustainable solutions with social impact. By
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lines such as those of neighbourhood, class, gender, and caste, or along new dimensions. Understanding how communities sustain or lose their ability to cooperate under climate induced pressures is an