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technologies. This PhD project seeks to fill this gap by quantifying and comparing environmental performance across various management routes for SMR radioactive waste streams, thereby guiding technology
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to produce electrical machines gives several new possibilities how to design more efficient and higher power density machines. However, to achieve the maximum effect in the design of the machine, it is
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highly motivated and ambitious PhD candidate with experience in either biomedical engineering, machine learning, polymer technology, physics, electrospinning, or similar fields,to join our Lab- on-a-chip
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Infrastructure? No Offer Description Summary A fully funded PhD position (four years) is available for an Early-Stage Researcher in the area of additive manufacturing, with an emphasis on thermomechanical modeling
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technology Offered by: School of Engineering. Department of Materials and Environmental Technology Description The research This PhD project focuses green chemistry fire retardant pretreatment of veneers
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data collection strategy using the Internet of Things, sensors and NMEA 2000, a data analyzing plan using established guidelines and machine learning tools. We offer: A fully funded PhD position for four
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Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Estonia Application Deadline 24 Oct 2025 - 23:59 (Europe/Tallinn) Type of Contract Temporary
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Cultural studies Environmental science Sociology Geography » Human geography Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Estonia Application Deadline 28 Sep 2025 - 23:59