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the selection of Nobel laureates. The Text Analysis Group joins computational text analysis specialists focused on methodological innovation with social scientists attuned to social and political
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time, depending on your progress through the study plan. Starting date by agreement. This position may come to be a security classified position. If so, security screening including a records check will
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on: analytical chemistry methods for organic matter characterization and pollutants measurements are highly merited. designing and performing laboratory studies are highly merited operating and monitoring
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consensus mechanisms, and designing scalable defense strategies that uphold privacy and security guarantees. The candidate will work at the intersection of systems, networking, and security, contributing both
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Adhesives. The Competitive Timber Structures project aims to support the green transition of the construction sector by promoting innovation and sustainability in timber-based building solutions. The BioGlue
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. Programming gene circuits Modeling and designing synthetic DNA components Construction of Chemical Reaction Networks (CRNs) Simulation and analysis using MATLAB and Visual DSD Robust analysis of various modules
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simulations Experience of work in the maritime sector or marine management Swedish language skills (spoken and written) Your tasks As a PhD student, your responsibilities will include: Plan and conduct research
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doctoral student, you will take both mandatory and elective courses, plan and carry out your research projects independently. About the employment You will be employed by and accepted as a PhD student at the
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exceptional circumstances. You will initially be employed for one year, after which your employment will be renewed for a maximum of two years at a time, depending on your progress through the study plan
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research and methodological development to design and implement novel computational models and solutions. A solid theoretical background and hands-on experience in digital image processing and deep learning