14 structures-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Norwegian University of Life Sciences (NMBU)
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Technology . The position is for a period of 3 years. Desired start date: 1 May 2026 or earlier. The fellowship is part of TIES project “Tunable ion separations with micro-structured composite membranes
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and process engineering, robotics, construction and architecture, industrial economics, environmental physics and renewable energy, geomatics, water and environmental engineering, applied mathematics as
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techniques to identify the enzymes, as well as protein purification and recombinant protein expression to get hold of the enzymes. The PhD student will be part of the large and international PEP group (https
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@nmbu.no Where to apply Website https://universitypositions.eu/jobs/301028446-phd-scholarship-on-wheat-drought-… Requirements Research FieldEnvironmental scienceEducation LevelMaster Degree or equivalent
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please follow this link: https://www.nmbu.no/en/faculty/kbm NMBU via Unsplash NMBU The Norwegian University of Life Sciences NMBU will contribute to securing the future of life through outstanding research
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projects both nationally and internationally. For further information please follow this link: https://www.nmbu.no/en/faculty/kbm via Unsplash The Norwegian University of Life Sciences NMBU will contribute
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frode.alfnes@nmbu.no Casper Claudi Rasmussen Dean casper.claudi.rasmussen@nmbu.no Where to apply Website https://universitypositions.eu/jobs/232532423-phd-scholarship-within-economics-… Requirements Research
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, energy production and transmission, construction of data centres and various other forms of infrastructure. More projects of this kind will be needed if aiming at continuing to follow the prevailing socio
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: elana.wilson.rowe@nmbu.no For questions regarding the PhD program (eligibility for admission, structure of the program etc), please contact: Program coordinator Josie Teurlings, email: josie.teurlings@nmbu.no via
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-principles electronic structure calculations Perform materials screening including machine learning to identify promising thermoelectric materials for cooling technology The successful candidate is expected