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quantum information Experience with programming, preferably with Python Fluent speaking and writing skils in English Team-oriented and highly motivated to work in an experimental laboratory A background in
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refueling infrastructure.UGent-MMS is partner in a large new research project with several leading companies in the automotive industry. This research project aims at developing composite solutions for future
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peatland systems. This project will combine computational and experimental approaches, leveraging the large-scale Microflora Danica dataset combined with samples taken from sites undergoing restoration. You
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Autonomous methods for fault or anomaly detection and classification of PV plants with high accuracy are necessary for the monitoring of large-size PV power plants. Objectives also include other
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disorders, ideally idiopathic scoliosis experience with data analysis using software such as Stata or R experience with processing and managing large data sets excellent academic writing skills Personal
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the understanding of large-scale irrigation-atmosphere interactions. You will use state-of-the-art global satellite remote-sensing data to analyse the impact of irrigation on cloud and rain formation. This will
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to: Design, plan and conduct a programme of investigation, in consultation with the three supervisors. Produce a PhD thesis, written in English, consisting of four data chapters, an introduction and discussion
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: researchers, teachers, technical/administrative staff, and Ph.D. candidates. The department has a large PhD programme and co-ordinates three international Master programmes. The Department has a well
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Max-Planck-Institut für Kohlenforschung, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | about 2 months ago
investigated by in situ X-powder diffraction, scattering techniques, and spectroscopic measurements. The in situ/operando experiments will be performed in our laboratories and at large research synchrotron
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top predators in the North Sea. Key responsibilities: Analyse tracking data of seals and seabirds to investigate their foraging behaviour in relation to dynamic environmental variables, such as tidal