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UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments
UiA. The successful candidate will spend 18 months at UiA followed by 18 months at the BE-CEM group at CERN, while remaining active in the PhD programme at UiA for the full 36 months. The PhD Candidate
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or Computational Engineering, obtained not earlier than 2023, and having a solid background in one or more of the following subjects: structural dynamics, dynamic-soil structure interaction, elastodynamics, and
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the following qualifications: M.Sc. degree in either automatic control, mathematical engineering, mechanical engineering, mathematics, computer science or similar. Solid mathematical and analytical
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of satellite and ground‑based observations to characterize vertical coupling mechanisms and their temporal variability. The position also contributes to the planning of future satellite missions, with a focus on
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exposure to auction theory, mechanism design, or market design. Experience with theoretical modelling, calibration, or computational economics Employment Conditions The successful candidate will be recruited
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behavior of pests, their response to pesticides, including physiological and genetic mechanisms of resistance, innovations in applied pest management research (e.g., molecular, computational modeling
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solid mechanics, structural engineering, mechanical engineering or similar fields. Your education must correspond to a five-year Norwegian degree program, where 120 credits are obtained at master's level
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to ground research in relevant theory have excellent written and verbal communication skills have the ability to work independently and collaboratively in interdisciplinary teams. Highly desirable: Experience
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of Contract Temporary Job Status Part-time Hours Per Week 26 Offer Starting Date 15 Apr 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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advance this, you will break new ground in establishing an AI-enhanced modelling framework to disclose fundamental mechanisms coupling twist angles in 2D bilayer heterostructures, magnetism and catalysis