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accurate information. Machine learning allows for the systematization and processing of this data into new forms of information to support the management of forest resources and ecosystems. The PhD candidate
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, electric, and angular momentum signals. Required selection criteria The applicant for the PhD position must have an MSc (or equivalent) in theoretical physics or nanotechnology or a closely related field. We
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classification of EEG and auditory signals. The group of the project is multidisciplinary, with experts in signal processing, machine learning, acoustics and language. The successful applicant will perform
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surgery. This PhD position will focus on the health monitoring system development mainly based on multimodal physiological signals, for instance, inertial measurement unit (IMU), electrocardiography (ECG
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solid mechanics, sensing and signal processing, and robotics? If so, you might be an excellent candidate. Information The demand for autonomous robots capable of physically interacting with the world in
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First Stage Researcher (R1) Positions PhD Positions Country Italy Application Deadline 15 Dec 2025 - 23:59 (Europe/Rome) Type of Contract Temporary Job Status Full-time Offer Starting Date 22 Oct 2025 Is
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with expertise in digital signal processing methods, and machine learning methods for amplitude and phase noise characterization of optical frequency combs, recovery of dual-comb measurement signals and
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21st November 2025 Languages English English English The Department of Physics has a vacancy for a PhD position in theoretical physics Apply for this job See advertisement This is NTNU NTNU is a
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econometrics, high-dimensional statistics, machine learning, nonparametric statistics, portfolio theory and stochastic processes. Our PhD program comprises a 2-year MPhil Phase with courses aimed at building a
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 1 month ago
description:PhD position in cellular signaling in photosymbiosis (f/d/m) Background We invite applications for two fully funded PhD positions (3 years each) to join the newly established photosymbiosis focus group