66 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Univ"-"UNIV"-"St" positions at University of Lund in Sweden
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are united in our efforts to understand, explain and improve our world and the human condition. Your team, work duties and areas of responsibility The MAX IV Scientific Data group develops and supports
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environment? Then join us and take the opportunity to make a real difference! For further information, please visit: https://www.lunduniversity.lu.se/about-lund-university/work-lund-university www.sweden.se
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for Neural Rendering for Computer Graphics and Real-Time Rendering. By using ANNs, coded for high-performance on cross-vendor GPUs, we aim to create new techniques for global illumination and material models
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observational data. Together with international collaborators the Inverse Modelling group develops and applies inverse modelling / data assimilation systems that employ a range of observations to constrain
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are united in our efforts to understand, explain and improve our world and the human condition. Description of the workplace The PhD position is within the Quantum Information Theory group led by Armin
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research area MERGE (https://www.merge.lu.se ), focused on climate modelling. Aerosol research has been conducted at Lund since the 1970s and is now a designated profile area at LTH (https://www.lth.se
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“carbon farming” programs, and how data flows between these actors. Actors may include small-scale start-ups, large-scale multinational chemical companies, tech companies, banks and carbon credit platforms
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methods for surface analysis and gas-phase diagnostics working with catalytic materials such as metal and oxide surfaces, including polycrystalline samples analyzing and interpreting experimental data
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visual methods. By combining a global mapping of key actors, data flows, carbon credits, and financial transactions with in-depth case studies and insights from farmers themselves, the project will provide
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philosophy and cognitive science. Theoretical philosophy has three main research areas: 1) philosophy, cognition and communication, and their history. 2) Knowledge and information quality, and their history. 3