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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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application! We are now looking for Computational Research Assistants in Tumour Evolution and Single-cell Genomics. The position Cancer evolves over time and space, with subclones often acquiring new mutations
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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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than the time at which the appointment decision is made. You must have very good documented personal experience of standard molecular biology, bacterial genetics and RNA-biology methods. You also need
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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
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build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject (RAI) (www.ltu.se/robotics) at the Department of Computer Science, Electrical and Space
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model design and analysis as well as statistical model parametrization and validation techniques. This Postdoc position is part of a five-year research program funded by the Wallenberg Foundation, aimed
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build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence (RAI) (www.ltu.se/robotics ) subject at the department of Computer Science and Electrical and Space