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to the development of several innovative doping methods. More broadly, the research aims to understand and control how molecular interactions, ions, and charge transfer processes determine the electronic properties
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provide insights into where energy expenditure is highest and where efficiency improvements can have the greatest impact. By doing so, this work aims to contribute to a better understanding and optimization
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to be employed for the degradation and mineralization of per- and polyfluoroalkyl substances (PFAS) in water streams. At KTH, the focus is on the design, fabrication, and optimization of cavitation
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
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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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for an expert in mass-spectrometry based proteomics who will work alongside our biochemists and microbiologists on detecting and optimizing casein PTMs . Who we are looking for The following requirements
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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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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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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