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in data-driven medical technologies? Are you keen on being part of a vibrant research community, working closely together with a research team and assisting with the supervision of PhD candidates
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provides opportunities to strengthen your academic profile through (co-) supervision of PhD, MSc, and BSc students, as well as teaching (if desired). Especially attractive is the opportunity to collaborate
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circular wind energy sector. A key component of this mission is developing predictive "look-ahead" control capabilities based on LiDAR technology. Your Mission: Advanced LES & Research Leadership As a
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, you will work on a DFG/NWO Weave Grant in collaboration with a PhD student, Dr. Claudia Fichtel (German Primate Center, Göttingen) and Professor Carsten de Dreu (University of Groningen). Your job
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to applications submitted by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in control engineering, preferably applied to space systems AOCS
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Exploration) will further develop monitoring tools that currently have a TRL (technology readiness level) that is too low to allow for inclusion in the standard monitoring operations by Rijkswaterstaat
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collaborate with the Principal Investigator and help coordinate research with and supervise the research of two PhDs working on the project (one who focuses on Nigeria, and one who focuses on Mozambique
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Indicators 79: 114-121. You will be part of the WP3 team consisting of Prof. Jan Hendriks, Dr Wilco Verberk, Dr Aafke Schipper, and one PhD candidate, and also collaborate with the PhD candidates and
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unparalleled EO and technology expertise; a unique opportunity to work on innovative solutions to address global challenges; freedom and focus to conduct creative research while making an impact in relation
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of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With