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attract funding from government authorities, the Dutch Research Council or industrial partners, and build and supervise your team of PhD students. You will be responsible for teaching undergraduate and
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, and publications. To be considered for the position you will have: A Master's or PhD degree in a relevant field, i.e. Data Analysis, Computer Science, Environmental Science, Remote Sensing or Civil
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of Engineering Structures. You will join our growing team of driven academics, teachers, and PhD students, all sharing the ambition to develop resilient, smart, and sustainable structures and infrastructures (see
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to, for example, data, measurements, statistics, transformation from measured data to derived properties, and external (including environmental) loadings. The position takes into consideration the random, spatial
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MSc and PhD students, postdocs, professors, and industry R&D experts. Your responsibilities will extend to interpreting the scientific significance of measurements, advising users on sample preparation
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are looking for both part-time (minimum two days per week) and full-time engineers, so we are open to discuss flexible working hours. Must have: Master or PhD degree in a computer science, mathematics, physics
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, including supervising PhD and master students. It is expected that you will conduct research into measurement techniques, analysis and diagnostics for electric field, space charge and partial discharges
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research, you will be working with leading space companies and agencies, users of space technologies, universities and research institutes. You will also build your team of PhD students, whom you will
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looking for two Research Software Engineers (RSE) to join their team. We especially welcome applications from early career researchers (recently graduated MSc, PhD candidates or Postdocs) with a passion for
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, the faculty as well as other groups inside and outside of the university, and with companies. A start-up package will include a 4-year PhD student position plus required materials and equipment. To be