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Field
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expertise, and engagement with industrial partners driving innovation in aerospace materials. We welcome applications from motivated candidates with a background in materials science, mechanical engineering
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offers an advantage for processing certain signals. The project is primarily experimental and will involve optical cavity measurements, materials characterization and, where needed, nanofabrication. Its
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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
simulations, membrane biophysics, physical chemistry, soft condensed matter or computational structural biology. PhD Project 2 – Adaptive Functional Materials for Neuromorphic Computing (CRC 1459) Adaptive
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description SIMaP (Science and Engineering of Materials and Processes – UMR 5266), a
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the doctoral project The research project aims to develop a viable technology relevant for the sustainable commercial conversion of biomass waste to biofuels. The main objective of this project is to
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. Skills - Master's degree in Physics, Photonics, Quantum Engineering, or related discipline - strong background in experimental quantum optics or photonics - experience with optical setups, spectroscopy
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21 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Civil and Environmental Engineering Research Field Engineering
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research spans a wide range of topics, including experimental and theoretical molecular physics, the dynamics of complex systems, photonics, and quantum science. This PhD project lies at the interface
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the Faculty's strong research tradition. The Faculty's research spans a broad range of areas, including experimental basic research, patient-oriented clinical research, and health sciences research. With
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will strengthen the data science and machine learning activities of IAS-9 by developing core AI methods with applications to electron microscopy and materials discovery. You will work in a team of data