870 algorithm-"Prof" "NTNU Norwegian University of Science and Technology" PhD positions
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I study galaxies and active galactic nuclei, endeavouring to understand how galaxies grow, what regulates star formation within galaxies and what triggers active galactic nuclei. My students and I use imaging surveys at X-ray, optical, infrared and radio wavelengths to measure the emission from...
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and clean air quality. via Unsplash NTNU - knowledge for a better world NTNU - knowledge for a better world The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world
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Understanding factors related to student retention and experience in physics and astrophysics major units. Using quantitative (surveys) and qualitative data (interviews with students) this project aims to explore who takes physics and astrophysics major units, why they pursue them, and what...
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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
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philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection
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- knowledge for a better world The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life. Department of Design We are located in
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colleges regulations) and Regulations for the degrees philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU
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of algorithms and digital neuromorphic hardware is an additional avenue for enhancing the efficiency of the methods. In this context the research will explore digital, event-based implementations
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" (Supervisor: Prof Timothy O'Leary) uses principles from systems neuroscience to develop reliable, low-power spiking neural networks and learning algorithms for implementation in a new generation of neuromorphic
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computing to develop a continuous and local alternative to existing gradient-based learning rules, bridging theories of predictive coding with event-based control/ Simulate models of the learning algorithm