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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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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. 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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. 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, 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
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contribute to teaching activities within the Department of Clinical Psychology (approximately 10% of your appointment). Your qualities A (Research) Master level diploma in Clinical Psychology or a related
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mathematics that ultimately leads to computational methods for imaging. You have: a Master's degree in mathematics, applied mathematics, computational science, mathematical physics, or a closely related field