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have a very high proficiency in English and multilingual skills. You have a good knowledge of digital humanities tools and methods, or demonstrate a strong willingness to develop these skills. You have a
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accurate despite the large temperature gradients present in cryogenic experiments. You will explore full-field techniques such as digital image correlation, speckle and grid methods, interferometry, digital
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preparation of manuscripts. Present the results in conferences. Requirements: Qualifications: BSc + MSc (physics, materials science or alike) Prior experience in ultrafast spectroscopy is a plus. Prior
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or professional accomplishments. This evidence needs to demonstrate that you have the necessary experience and skills to carry out your proposed research project. Entry requirements vary between degrees, but
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accordance with the MSCA-DC program. Have a Master’s degree in a relevant field (e.g. Artificial Intelligence, Computer Science, Data Science, Mathematics, Engineering or relateddisciplines). Demonstrate
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an appropriate standard, possibly abroad, and compete for funding for general or specific costs. You will report progress to your supervisor(s) and committees, and present your research at scientific conferences
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challenging for sustainable (‘green’) steel grades, which exhibit a complex microstructural variability. This programme addresses this challenge using tools at the intersection of materials physics
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. Collaborate closely with the computational PhD and consortium partners, contribute to validation experiments at TNO, publish and present your results, and assist in Bachelor and Master teaching. Publish and
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results. Contribute to the validation of the experiments at TNO, publish and present your results, contribute to the supervision of BSc/MSc students Publish and present your work within the project
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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