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Field
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. Only online applications will be accepted. AVAILABLE PROJECTS: Nanoscience: Application of bistable DNA devices Biophysics: Learning in living adaptive networks Biophysics: High-resolution structural
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) and follow courses at the Graduate School of Life Sciences and/or Philosophy; you will also teach Bioethics and Medical Humanities courses at the Faculty of Health Sciences. Where to apply Website https
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: RNPUs, Nature 577, 341-345, 2020 . In this PhD project you will work on applying RNPU networks for solving computational problems that are considered hard. Where to apply Website https
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for life and work. https://www.rmit.edu.au/about https://www.universitiesaustralia.edu.au/university/rmit-university Why work at RMIT University Our people make everything at the University possible. We
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motivated to learn. Comfortable working at the clinic–lab interface; excellent writing and communication in English (Dutch is an asset for patient-facing coordination). Motivated to work within an
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 5 days ago
establish reference performance and guide the design of more advanced models. The core of the work will then focus on developing and evaluating machine-learning-based NILM methods tailored
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at the University of Twente is looking for two PhD candidates to join the research team of Dr. Gaurav Rattan. The positions are funded by the NWO VIDI project Learning on Graphs: Symmetry Meets Structure (LOGSMS
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Probe (IMAP) mission in development for launch in 2025 to explore the details of particle acceleration and the Sun's interaction with the local interstellar medium. See https://spacephysics.princeton.edu
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Description Start date/duration 15.02.2026 for 4 years Job profile: Your tasks: Motor control and/or motor learning with regard to postural control or stability during the execution of dynamic movements, which
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by colloids, as well as methods for immobilizing these ions. Modern methods of theoretical chemistry (first principles, kinetic Monte Carlo, machine learning) will be applied to investigate diffusion