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challenges such as large temperature swings during bunkering and operation. These fluctuations, combined with hydrogen embrittlement, place significant stress on tanks and piping, affecting durability and
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facilitate data sharing among actors involved in a new circular flow of flat glass. Within the project, two PhD students, one at the Department of Computer and Information Science (with computer science
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, as well as data processing and writing. Qualifications: The successful candidate should have: Exam in crop science, biology or agronomy Sound knowledge of plant ecology Interest in agriculture and crop
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bioinformatics pipelines for the metabolomics data analysis and visualization of metabolomics data, support the integration of software tools for data (pre-)processing, biomarker discovery, and predictive
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) exhibits a unique operational mode in that a p-n junction doping structure forms during the initial device operation. The PhD project will be performed at the Swedish SME LunaLEC AB (www.lunalec.com ) and
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, and verifiable by involving users directly in the response validation process and ensuring that every answer is traceable to a clear source and justification. The project will focus on interdisciplinary
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theoretical analysis, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and
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team meetings and contribute to the department’s research environment. Interviews will be conducted with a shortlisted number of applicants during the final stages of the admission process. The
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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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conducted with a shortlisted number of applicants during the final stages of the admission process. The applicants may be asked to provide work samples also after the application has been submitted