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the frame of the FNR-CORE supported project OPTMONITOR (Optimal Monitoring and Coupled Modeling for Climate-Driven Landslide Risk Detection) at the University of Luxembourg (Faculty of Science, Technology and
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to 2 or 3 years with the possibility for further extension. Salary is commensurate with work experience and seniority (TV EntgO Bund EG13 (Postdoc) or EG13 – 60% (PhD student). Your application: We look
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tentatively entitled “Optimal e-bus charging infrastructure and fleet management considering Vehicle-to-Grid (V2G) connectivity, local renewable energy and dynamic pricing”, and will address “to what extent V2G
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and tentatively entitled "Optimal e-bus charging infrastructure and fleet management considering Vehicle-to-Grid (V2G) connectivity, local renewable energy and dynamic pricing", and will address
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science. Find all details here: https://siiri-sfb.de/en/karriere-hr/jobs/ Where to apply Website https://siiri-sfb.de/en/karriere-hr/jobs/ Requirements Research FieldBiological sciencesEducation LevelMaster
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Applications, written in English, should include: A detailed CV A list of publications (if any) A motivation letter Previous degrees List of courses with corresponding grades Contact details of 2 persons who agreed to give references Early application is highly encouraged, as the applications...
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: Modelling of optimization problems mainly related to the indicated line of research, as well as the design, implementation, and validation of algorithms to solve them Where to apply Website https
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Researcher (R2) Positions Postdoc Positions Country Poland Application Deadline 26 Jan 2026 - 12:00 (Europe/Warsaw) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Feb
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the frame of the FNR-CORE supported project OPTMONITOR (Optimal Monitoring and Coupled Modeling for Climate-Driven Landslide Risk Detection) at the University of Luxembourg (Faculty of Science, Technology and
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solutions that maximize operational efficiency, minimize network impacts, and ensure the long-term sustainability of the proposed approaches. The project investigates optimized EV charging strategies aligned