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in September 2026. Physical learning is an emerging paradigm in which materials adapt their behavior through local physical rules, without digital computation. Despite rapid experimental progress, it
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, with a focus on crack initiation, propagation, and damage evolution. These structures are characterised by large wall thicknesses, irregular bond patterns, varying material quality, and exposure
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continue reading. Join us in contributing to green hydrogen transition! The Functional Materials group , led by Dr. Stefania Grecea is seeking two postdoctoral candidates with expertise in electrochemistry
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understanding, design, production including application and product improvement, materials, processes and (mechanical) systems. ME is a dynamic and innovative faculty with high-tech lab facilities and
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For practical questions regarding the application procedure: Maarit van Gammeren m.s.k.van.gammeren@hum.leidenuniv.nl Application procedure Applicants are invited to submit the following materials before 30 April
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Engineering » Materials engineering Researcher Profile Recognised Researcher (R2) Application Deadline 22 Feb 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours
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feed into this vision. The intended start date is July–August 2026. Job requirements PhD in machine learning, artificial intelligence, computational chemistry, computational materials science, or a
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and imaging capabilities, and on applying THz (emission) microscopy to study 2D materials and 2D heterostructures. The microscope will use femtosecond lasers to generate and detect terahertz pulses
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material syntheses, surface chemistry, and analytical characterization; strong English skills, both in speaking and in writing. The following experience will strengthen your application: a PhD obtained
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materials science, nanotechnology and technical medicine. As part of a people-first tech university that aims to shape society, individuals and connections, our faculty works together intensively with