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focus on image processing and restoration, to develop novel AI-based approaches to restore and denoise Transmission Electron Microscopy (TEM) images. This position is part of a cross-disciplinary research
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an experimental one and concerns studies of mutual neutralization processes using the double electrostatic ion-beam storage ring, DESIREE. Mutual neutralization is the process in which an electron is transferred
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respect to battery performance, and study fundamental chemical processes and properties using both experimental and computational techniques. The research is, as such, both fundamental and applied. This PhD
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modeling reaction kinetics. Proficiency in Python programming. Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB
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Python programming. Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support
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incorporate all stages of society’s waste management – generation, collection, treatment and disposal of waste, including reuse and recycling. The research aims at the development of tools and processes
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the selection of the suitable candidate, the process for the admission to doctoral studies will commence. Admission decisions are made by the faculty’s director of studies. About the employment The position is
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for the position is extended accordingly, resulting in a maximum of five years. The procedure for recruitment for the position is in accordance with the Higher Education Ordinance (chapter 12, 2§) and
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and computer science and be fluent in oral and written English. Specific depth in mathematics, computer security or encryption is valuable but not a requirement. It is an advantage if you have previous
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- Control of Communication networks - Markovian Processes - Network Based Localisation / Radio based connectivity - Adaptive bandwidth - Mesh networking - Wireless Sensor Networks - Edge Computing - Time