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sedimentological (grain size distribution), geochemical (XRF, ICP-OES, C/N), and soil physical (density, pore volume, water conductivity) analyses in the laboratory, multivariate statistical evaluation of the data
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linked to the research fields within Ancient History, Latin Studies, or the Archaeology of the Roman Provinces. Applicants who are about to complete their studies can apply, provided that they can submit
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microbial ecotoxicology, aiming to unravel the effects of agrochemicals on the structure and functioning of microbial and viral communities in agricultural ditch sediments and the linked ecosystem function
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electrolysers. The focus is on high-throughput experiments for the production, characterisation and optimisation of inks and coatings. You will apply and improve automated workflows and link them with data-driven
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computational image analysis, computer vision and machine learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties to biomaterial performance and
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traits and structure regulate below-ground microclimate and microbial carbon cycling across spatial scales. You will combine controlled experiments, field observations, remote sensing data, ecosystem flux
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Annie Spratt 18th October 2026 Languages English Norsk Bokmål English English PhD Scholarship - AI for Forest Robotics Apply for this job See advertisement Key Information The PhD fellowship aims
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and data analysis. You will design, build and operate a cryogenic experimental setup in which gas composition, pressure, flow rate and surface temperature can be controlled. Using optical imaging
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, crack initiation and crack propagation. You will investigate hydrogen trapping and transport, identify the microstructural features controlling embrittlement and establish quantitative links between