18 associate-professor-computer-"https:" "https:" "https:" "https:" research jobs 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. Description of the workplace The associate Researcher will join the dynamic Regenerative Immunology laboratory
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an emphasis on maintaining physical consistency, numerical stability, and real-time data assimilation within reduced-order models. Primary application areas include computational physics and climate modeling
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Information Science (GIS), and computational science for health and environment, to study processes spanning from the microscopic to the planetary, across all time scales. The Inverse Modelling group at the Department
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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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position, collaborating closely with the project team throughout all stages of data collection and analysis. The position will be supervised by Emma Johansson, Associate Professor at the Lund University
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-2024-COG no. 101171587) and is led by the Principal Investigator Yafa Shanneik, Professor of Islam and Society at SOAS , University of London. The project examines how state-led genetic healthcare
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group – lead by professor Sophia Zackrisson – with a main research interest in innovative imaging modalities and methods in breast cancer diagnostics, focusing on screening and the role of Artificial
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Information Science (GIS), and computational science for health and environment, to study processes spanning from the microscopic to the planetary, across all time scales. Subject description Forests play an important
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researcher (the Swedish Employers' Association). A postdoctoral position is intended as an initial step in a career and as an opportunity to further deepen and broaden research expertise. Additional
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strategies. The research group focuses on exploration of tumor immune microenvironments through spatial omics and imaging, development of computational models for prediction of molecular and clinical features