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The Learning Machines group seeks motivated PhD students to join our team working on learning in physical systems. What are learning machines? Imagine your favorite artificial intelligence machine
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this project, you will explore inverse data-driven and physics-based approaches and integrate multi-modal and multi-fidelity biomechanics tissue testing data to advance insights into the ex vivo and in vivo
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Join us on our quest to overcome a long-standing research challenge in soft tissue biomechanics through the combination of multi-modal experimental tissue testing data, machine learning and physics
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, e.g. graphene, have gained much attention in research for their special physical properties compared to their three-dimensional counterparts. Halides or transition metal dichalcogenides in particular
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Location ESTEC, Noordwijk, Netherlands Description Materials Physics and Chemistry Engineer in the Materials Physics and Chemistry Section, Technical Reliability and Quality Division, Product
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The Photonic Forces group at AMOLF is looking for PhD students to join our team working on the intriguing physics of nano-optomechanical systems. We are fascinated by the ability of light to measure
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24 Apr 2024 Job Information Organisation/Company Utrecht University Research Field Physics Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country Netherlands Application
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semiconductor physics Hands-on hardware experience Understanding of related technologies, R&D trends and the industrial landscape Project support experience in a relevant domain Experience with laboratory
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of hospitality management and initiatives on our campus. We are currently in a three-year process of embedding sustainability systemically at our school, using the Whole School Approach (WSA). You will be part of
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of angular estimation with sparse arrays, joint development of MIMO array topologies (sampling problem) and angular estimation algorithms (estimation problem) is required, while considering the physical