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these may be taken into consideration. The expertise in electrochemistry and sufficient general understanding of organic chemistry, electrochemical principles and methods is essential. The experience in
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methods to improve steel recycling and minimize the reliance on primary iron, by optimization of steel processing. Steel scrap is not a uniform material but a very diverse group of materials with widely
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innovative methods for the scientific study of collaboration. Within the framework of RoC, a Community of Practice is also being developed - a common arena of knowledge and interest for shared learning and
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advanced wireless technology with innovative computing to shape the future of cloud computing in 6G communications systems. The department offers a collaborative and inclusive culture that promotes
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thermal and materials characterization including using RAMAN, FTIR, DSC, DMA, TGA, LFA and 3-Omega measurement methods etc. We seek candidates with the following qualifications: To qualify for the position
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resilience. Experience with advanced modelling techniques for logistics and supply chain analysis (e.g., simulation tools, digital twins, or data-driven optimisation methods). Knowledge of food quality and
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the electrical, electrochemical, nanostructural, and optical properties of conjugated polymers. Familiarity with methods such as FTIR, UV-vis spectroscopy, DSC, TGA, X-ray diffraction, optical microscopy, AFM, SEM
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at least 1 million DNA barcodes. The project involves collaboration with a computer vision lab at Linköping University, focused on developing AI-assisted techniques for picking out specimens for genome
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leading to production and harvesting in the regulated countries moving to unregulated countries. The position is part of a joint research program between Swedish University of Agricultural Sciences (SLU
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are looking for you who would like to be a part of our team to identify resistance to virus yellows in sugar beet. Using molecular methods and sequence analyses, you will map the diversity in Sweden