65 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UNIV"-"Univ"-"CESBIO" positions at University of Lund in Sweden
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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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how information is encoded, integrated, and retrieved from memory. Project description The successful candidate will contribute to a project investigating the neural detection of concealed knowledge
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Doctoral student in Historical Osteology within the ERC-Synergy grant project "FORAGER" (PA2026/771)
scale and leveraging the rich legacy data already available, these issues will be addressed systematically and synergistically across four temperate regions of the Northern Hemisphere. The team will
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to the Skaraborg region. The doctoral candidate is expected to participate in the project’s joint data collection in the region, including interviews, in collaboration with other project members. At the same time
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research, while continuously improving how the facility operates. Within this division, the Software team develops and maintains the control systems, data acquisition software, and user interfaces
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mortality and healthcare burden globally. We are now looking for an enthusiastic and talented person to strengthen the Unit’s expertise in data mining, artificial intelligence, epidemiology, public health