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developments in MCF, component and subsystem design and implementation, and the practical engineering aspects of MCF-based systems and networks. With the collective expertise of all partners, MATCH stands as a
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engineering, computational neuroscience, artificial neural networks and bio-inspired robotics: "Rhythmic-reactive regulation for robotic locomotion" (Supervisor: Prof Fulvio Forni) will apply techniques from
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-type hydrogels Linkopings Universitet (LiU): development of the neurohybrid network The work will be done in close collaboration with the other members of the FADOS network. Further information
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9 Sep 2025 Job Information Organisation/Company Foundation for Research and Technology Department Institute of Electronic Structure and Laser (IESL) Research Field Physics » Quantum mechanics
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-scale modelling, machine learning) High resolution analysis, monitoring of chemistry, structure and transformations at the atomic scale of buried interfaces and defects by correlated experimental
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interest in expanding their knowledge in both domains. (1) Geometry/Topology -related methods in computer science. (2) Machine Learning. (For example, graph neural networks, generative networks, or neural
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respect to an infinitesimal perturbation of the dataset, provide a rigorous framework to: - **Identify the most informative samples** among the predictions of a deep neural network (DNN), with the goal
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
of REUNATECH’s vision and mission statements and across the doctoral training network Support of relevant teaching activities of DTU’s Civil and Mechanical Engineering Department Co-supervision of BSc
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Several PhD positions (f/m/d) in International Research Training Group (iRTG) limits2vision Full PhD
) / Sorbonne Université in Paris (France), two of Europe’s largest institutions in the field of vision research. Together, IOR and IDV host the new l imits2vision research training network to educate the next
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Two fully-funded 3-year PhD studentships are available in Neuromorphic and Bio-inspired computing at the interface between control engineering, electrical engineering, computational neuroscience