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); keywords: natural language processing, robotics, biostimulants PhD-M: Assessing drought effects on grassland using IoT-enabled visual sensors. PhD grantors: Poznan University of Technology (PL) & INRAE (FR
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. The beamline is primarily dedicated to research on soft materials and biological specimens. Current inhouse research topics include dynamics of driven colloids, spontaneous self-assembly processes in amphiphilic
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) Number of offers available1Company/InstituteThe Faculty of Natural SciencesCountryNorwayCityTrondheimPostal Code7491StreetHøgskoleringen 1Geofield Contact City Trondheim Website http://www.ntnu.no Street
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processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global change to responsibly managing georesources. We are part of the Helmholtz
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long-term performance predictions. This PhD project aims to improve process-based understanding of infiltration dynamics in nature-based stormwater solutions by combining field monitoring, experimental
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23 Jan 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department The Faculty of Natural Sciences Research Field Biological sciences Technology
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, and on the website Bolsa de Emprego Público (Governmental Public Employment Portal), as well as in both Portuguese and English in the Apply UC computer platform and in the EURAXESS Portugal Portal
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | 1 day ago
(computer-based), or 79 points (Internet-based) Cambridge Advanced English test (minimum grade B) Cambridge Certificate of Proficiency (minimum grade C) IELTS Academic (minimum 6.5) Application deadline
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. An individual career development plan containing research and transferable courses, international research visits, mentoring and career activities, is also a central element. Please visit https://www.interact
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, candidates are required to complete a scientific programming task in the subject area of the advertised position: https://www.hpc.uni-wuppertal.de/de/peter-zaspel/challenge-in-bayesian-inference-for-climate