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. Work duties The work involves optimizing the respective photocatalytic reactions that have been develop in the group using iron N-heterocyclic carbene complex as the photosensitizer together
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of software infrastructure to optimize data workflows Developing analytical methods to integrate different types of sequencing-based DNA data. Developing computational models for prognosis and treatment
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mass and extracted material and can thus provide engineers and decision makers with important information for safety and productivity optimization. Your mathematical, analytical and problem-solving
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-scale conditions and evaluate recycled bio ashes as a source of nutrients or growth-promoting components. The research will optimize cultivation and exposure conditions, quantify metal uptake by
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, processing and interpretation. Developing, implementing and optimizing workflows for cryo-ET sample preparation, data acquisition and data processing. Supporting and training users in cryo-ET methods and
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. Design and optimize computational frameworks for high-performance simulation of reacting flows and battery safety phenomena on modern GPU architectures. Conduct research in related areas of battery
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sought-after partner in both academic and public-sector collaboration. The research focus includes energy system optimization models, sustainable energy and climate transition, scenario analysis, and
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systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization
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conducted in collaboration with BioMS and experts in proteomics and peptidomics at Lund University. The duties include: Planning and conducting experiments. Developing and optimizing methods for sample
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of the world’s largest research environments in computational science, with large activities in areas such as machine learning, optimization, scientific software development and high-performance computing