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Information about union representatives, see https://liu.se/en/work-at-liu/help-for-applicants . Application procedure Your application must be received no later than 30 March, 2026. We welcome applicants with
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biochemists and microbiologists on detecting and optimizing casein PTMs . Who we are looking for The following requirements are mandatory: A Doctoral degree or equivalent in relevant disciplines
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designing, testing and optimizing such BY-kinase inhibitors. Who we are looking for The following requirements are mandatory: A Doctoral degree or equivalent in disciplines related to computational biology
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at developing a comprehensive framework for the integrated and coordinated operation of conventional and converter-based energy resources across diverse grid scenarios. The ultimate goal is to enhance grid
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characterization of quantum processors Development and optimization of nano-fabrication processes for large-scale devices Development of optimal control techniches to achieve fast and high-fidelity qubits operations
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real computational problems that cannot be efficiently solved on a conventional computer. Such computationally hard problems are found, e.g., in optimization, quantum chemistry, materials science
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experience with 3D image processing, volumetric data analysis, optimization methods, statistical modeling, or machine learning for scientific applications. Prior experience with cryo-EM software frameworks
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the underlying principles. For us, it is equally important to study the impact of materials on biological processes as well as the impact of biological processes on materials. Our ambition is to foster a dynamic
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the time the employment decision is made Strong written and verbal communication skills in English Experience in processing and analyzing remote sensing data Experience in selecting, implementing, developing
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must rely on the optimum combination and operation of technologies that maximize the use of renewable energy sources and provide flexibility for both the networks and end-users. These plants will likely