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Field
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advanced experimental and modelling methods to better understand the behaviour of industrial lubricants under extreme operating conditions. Lubricants in gears, bearings and other mechanical systems can be
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, you will focus on developing mathematical models and numerical algorithms that systematically integrate uncertainties into the design process of optical systems. The goal is to enable novel design
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. To address this challenge, the project aims to develop structural health monitoring technologies based on a digital twin. The digital twin will combine information from the physical structure with models and
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high quality factors. These properties make it possible to envision all-optical, high-resolution, and non-invasive photoacoustic imaging systems with potential biomedical applications. The development
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evaluation, handling large datasets, including data collection, cleaning, storage, and management; Experience with integration of computational results with machine learning models to predict material
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29 Aug 2026 Job Information Organisation/Company AMOLF Research Field Physics » Condensed matter properties Physics » Optics Researcher Profile First Stage Researcher (R1) Application Deadline 24
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physics, quantum optics, exciton–polaritons, light–matter interaction, numerical simulations, or quantum modelling is meritorious. Willingness to work in an inter-cultural, international, and diverse group
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on the basis of the following criteria: Technical competencies Strong ability to design and optimize integrated optic devices, model their optical, optoelectronic, thermal-optical properties using commercial and
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robotic platforms, integration of optical and imaging-based feedback, and development of modeling and control strategies for operation in complex biological environments. Particular attention will be given
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characterization of materials’ magnetic, electronic and structural properties. Experience in spectroscopy and microscopy is valuable Knowledge in programming (Python) and 3D modelling will be valuable Availability