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with large-scale neuroimaging and multimodal datasets. You will design and conduct neuroimaging analyses, coordinate data processing pipelines, and perform advanced statistical and computational analyses
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for high-performance organic photodetectors. The work integrates molecular and materials design with organic synthesis, purification, and thin-film characterization, in close collaboration with partners
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of the largest pan-cancer signaling models in the literature. SPARCED is compatible with high-performance and cloud computing, can simulate thousands to millions of single-cell trajectories, is easily expandable
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Deadline 15 Mar 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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is a strong characteristic of our project portfolio, both with large companies and SMEs. The main research focus is on developing high-performance metallic materials that are resistant to burning
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First Stage Researcher (R1) Application Deadline 13 Mar 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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augmentation. This project is conducted at Lund University (LTH) in close collaboration with several industrial and academic partners. The candidate will work with high-performance computing resources (NAISS
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excellence as evidenced by strong scientific publications and track record relative to career stage. Strong programming skills (Python or R) and familiarity with high-performance computing Preferred
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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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of the largest pan-cancer signaling models in the literature. SPARCED is compatible with high-performance and cloud computing, can simulate thousands to millions of single-cell trajectories, is easily expandable