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characterize them with X-ray reflectometry, and other surface science techniques. Demonstrate the correlation between the structural properties of multilayers and their performance at various wavelengths
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the domain of digitalisation and energy renovation. You will learn to conduct research independently and grow scientifically through collaboration and supervision by researchers from Saxion and Hanze
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of Twente TechMed-CNPH and BMS-CodE groups , and industry partners Artinis Medical Systems and Clinical Science Systems. Information and application To apply, please submit your application by the button
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research independently and grow scientifically through collaboration and supervision by researchers from Saxion and Hanze Universities of Applied Science, supervisors from the Construction Management
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of digitalisation and energy renovation. You will learn to conduct research independently and grow scientifically through collaboration and supervision by researchers from Saxion and Hanze Universities
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suitable adaptation strategies. You will present your research at appropriate meetings, workshops and conferences, publish results in scientific journals and conference proceedings, contribute to teaching on
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results in scientific workshops, conference proceedings, and journals, contribute to teaching on topics related to your work, and supervise and mentor involved MSc students as needed. Information and
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research, algorithmic discrete mathematics, complex networks, statistics, systems theory, computational science, and artificial intelligence with applications in health care, energy systems, traffic, and
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and computational approaches to understanding cell fate. This position is ideal for those excited about bridging biology with data science to develop innovative digital twin models for precision
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and a scientific programmer. You will be supervised by both Rianne de Heide and Jelle Goeman. One PhD student will be appointed at the UT, and one PhD student at the LUMC. We collaborate very closely