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Field
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, dynamical systems, statistical machine learning, and neural time-series data. The goal is to better understand principles and mechanisms underlying distributed brain network computations through the dual
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6 Mar 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Engineering » Other Technology » Energy technology Researcher Profile
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intelligence within grid-connected power converters and variable-frequency motor drives with edge computing and machine learning capabilities. We offer a multidisciplinary, international, and friendly atmosphere
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description AAU Energy invites applications for a full-time, two
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perturbation modelling. The ideal applicant brings not only strong technical skills, but also interdisciplinary knowledge on the subject. More precisely: PhD degree in computer science, machine learning
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Postdoctoral researcher position at the Department of Animal and Veterinary Sciences, Aarhus Univ...
. Researchers in the section teach the BSc and MSc programmes in animal and veterinary science and supervise PhD students and conduct research-based public sector consultancy for national and international
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of nanodevices and their multiple functionalities for bio-inspired computing. The team includes two permanent CNRS researchers, two Thales researchers, 4 post-docs, and 4 PhD students. Where to apply Website https
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Classification Title: Postdoctoral Associate - Vascular Surgery Classification Minimum Requirements: For methodology A PhD degree in (Bio)Statistics, (Bio)informatics, Computer Science, Mathematics
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volume correlation processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background
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expected to develop and pursue an independent program of empirical research in bioethics. The CBH has a large network of productive inter-professional relationships in place with leading researchers in