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3D X-ray inspection techniques for industrial quality control. The project is foundational in nature, while at the same time exploring applications in collaboration with industry partners. The main
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variation fuels such adaptation. While heritable trait variation can arise from genetic and epigenetic sources alike, the true contribution of epigenetics to plant adaptation remains uncertain. The primary
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Bachelor and Master courses, including grades the names and email addresses of two academic referees who can provide letters of recommendation (one of whom should be the main supervisor of your Master thesis
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. Job requirements A Master's degree in (Applied) Mathematics, Applied Physics, or a related discipline is required. Candidates should have demonstrated expertise in the development of mathematical models
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partners. The main goal of your PhD project will be to develop combined X-ray and visible-light imaging technologies and machine learning methods for high-throughput inspection tasks. The work will include
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In a fusion reactor its walls must endure intense heat fluxes as well as a constant bombardment of neutrons and plasma species. Traditionally solid materials such as tungsten have been the primary
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partners, contribute to validation experiments at TNO, publish and present your results, and assist in Bachelor and Master teaching. Publish and present your work within the project consortium and on
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for collecting and evaluating real world multimodal sensor data. While the primary application domain is automotive, the developed methods should preferably be sufficiently general to also apply to other domains
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hold a Master's degree in Materials Science and Engineering, Mechanical Engineering, Physics, Applied Physics, Metallurgy, or a closely related discipline. You have a strong background in physical
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potentials for MD simulations. You have a strong academic track record, as evident from your Master's thesis and relevant coursework. You have excellent written and verbal communication skills in English