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-renal diseases. Our research spans large-scale register and laboratory data, causal and predictive modeling, and computational image analysis of kidney biopsies. About the Research Group: Led by Professor
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these events in spite of their potential devastating effects on modern society. In this project we aim to push the limits of solar storm detection with indirect proxy data by measuring new high-resolution
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laboratory-based research with large-scale trials in real production environments to develop globally applicable solutions that reduce food waste and enhance shelf life. Subject description Fruit and
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original research papers in leading peer-reviewed journals. Supervise and mentor MSc and PhD students, co-supervising theses and guiding laboratory work and data analysis. Requirements: Strong knowledge and
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: Strong programming skills, a valid driving license, and experience with large-scale 3D MT data acquisition, processing and inversion are essential. Experience in driving snowmobile and strong publication
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of PhD degree certificate • Contact information for two referees Application deadline: November 27, 2025 The University works actively to achieve a working environment with equal conditions, and values
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for the position. Curriculum Vitae (CV). List of publications. Copies of PhD diploma and other relevant degrees. Contact information for two references. Applications should be written in Swedish or English and
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environment for all employees through mutual respect and tolerance. Description of the project The postdoc will leverage existing high-throughput data from large scale cohorts and large family cohorts
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that contribute to new breeding tools and accelerates discovery. The position will offer opportunities to explore several approaches to solve the optimisation strategies including simulation-based, big data
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checks. Both parts are meant to support data-driven computational modeling for applications in epidemics. For a further description of the proposed project, see this document. The Department