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different laboratories including several labs at Yale School of Medicine. Scientists from your group will join cross-institutional lab meetings and have the option to visit some collaborators on-site
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for the discovery of new physics experiments) Developing, benchmarking and advancing state-of-the-art AI-driven exploration, optimization, and search algorithms in extremely complex and enormously large spaces
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to identify genetic loci, transcripts, and proteins that underlie differences in brain aging between two killifish species, with the long-term goal of developing strategies to delay brain aging in humans
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division 8.5 Planning, performing, and evaluating in-situ/4D computed tomography experiments Developing software for the quantitative evaluation of various image data sets (algorithms for detecting volume
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to identify genetic loci, transcripts, and proteins that underlie differences in brain aging between two killifish species, with the long-term goal of developing strategies to delay brain aging in humans
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or natural sciences Sound knowledge in machine learning algorithms, statistical methodologies, and biological network analysis Experience with the analysis and integration of transcriptomic and multiomics data
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. The ability to work in a diverse team, with members from different backgrounds and different experience levels, is also required. Not required but very desirable are familiarity with formal / computational work
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Kaposi sarcoma-associated herpesvirus (KSHV) Perform experimental laboratory work to investigate molecular cross-talk between KSHV and EBV in different cell systems, including primary B cells and lymphoid
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Helmholtz-Zentrum Berlin für Materialien und Energie | Berlin, Berlin | Germany | about 2 months ago
on the data recorded in the team, you will develop and test machine learning algorithms for perovskite tandem solar cells' energy yield and degradation Data cleaning and preparation Assisting integration
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sensor data, with applications in disease modeling and the development of material science-based innovations. These efforts aim to optimize system performance and uncover novel biological insights in close