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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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patients. The Process Development Engineer at GenDx ensures a smooth implementation of new or changed products into the production pipeline. Also, you drive upscaling and improvements of processes. By
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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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future is a thorough understanding and assessment of the thermo-physical properties (e.g melting temperature, heat capacity, density, viscosity, thermal conductivity) of the molten fuel salt during reactor
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4 Apr 2024 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Physics Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 31 May
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for applications in high-energy physics. Recently, novel 2D material devices have been developed based on heterostructures of semiconducting 2D monolayers such as transition metal dicalchogenides (TMDSs). Similar
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methods to demonstrate novel photonic integrated circuits for a diversity of applications? We have two process engineer positions to carry out research and development activities for the next generation of