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Field
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distributed systems and AI-enhanced automation for critical infrastructure monitoring and control. Your primary focus will be on designing and validating IoT sensor networks with long-range wireless
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and ecology, and biodiversity. The Department currently employs approximately 275 academic and technical staff, as well as PhD students, distributed at two geographical locations in Aarhus and Roskilde
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. This is a full-time, mentored fellowship beginning March–June 2027 with an expected duration of at least three years. The overarching goal of this fellowship is to prepare outstanding trainees
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standard software used for FRB or pulsar searches and analysis Practical experience in applying Machine Learning methods to data Experience with computer clusters and HPC Willingness to supervise Masters/PhD
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network of academic and industrial partners. We are a team specialized in robot solutions involving modelling, estimation, and control of advanced robot systems. In addition, the candidate will be
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: Tiltmeter and rotational sensor data near volcanic edifices. Distributed Acoustic Sensing (DAS) on buried and surface-deployed fiber. Regional seismic and infrasound networks. Hydrological and weather data
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competencies Education You should have completed within the past five years or be close to completing a PhD in a relevant field such as data science, AI, computer science, machine learning, Earth system science
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requirements We’re looking for a candidate with: A PhD degree, in chemical engineering, mechanical engineering, applied physics or similar Proven experience in working with electrochemical systems Experience in
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6 Jan 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Chemical engineering Engineering » Simulation engineering Researcher Profile
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employment for postdoc Employment as a postdoc requires scientific qualifications at PhD level. The starting date will be agreed with the successful candidates and is for a 1-year period with the possibility