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to do joint end-to-end analysis of a wide range of cosmological datasets, including archival data such as AKARI, DIRBE, FIRAS and Planck, ongoing projects like COMAP, PASIPHAE, Simons Observatory, SPHEREx
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statistical techniques that leverage large datasets, heavy computational capabilities, and/or a robust understanding of biological systems to provide unique disease insights. The lab has state-of-the-art
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large, highly diverse and multi-modal datasets (e.g., images, surveys, statistical and sensor data). Familiarity with geostatistical, GDAL, Python, PostGIS/PostgresSQL, Machine Learning, AI, Internet
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tumors using high-throughput sequencing technologies. Develop, optimize, and manage bioinformatics pipelines for processing and analyzing large-scale sequencing data (e.g., whole exome sequencing, RNA
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About the position The Department of Political Science is recruiting 1-2 Postdoctoral Fellows (SKO 1352) positions with specialisation in either Comparative Politics, Political Data Science, or
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that is production-ready for dissemination to other laboratories and for diagnostic use, and the management of large-scale data. They will join a team of computational and experimental postdoctoral fellows
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preferably) Strong skills in turbulence modelling, CFD mesh generation and use of parallel computing Have relevant experience in working with aerosols and droplets Proficient in handling large data sets and
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3 Nov 2025 Job Information Organisation/Company University of Gottingen Department ERC StG Group WidowsPrint Research Field History » Modern history Cultural studies » European studies Juridical
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for large samples at ESRF ID16A using multislice tomography approaches. You will lead the development of and work with parallelized computer models to simulate how coherent waves travel through materials with
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, including expert-annotated datasets and benchmarking studies. The project also includes academic research based on large-scale government and enterprise data, focusing on topics such as digital transformation