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team that investigates the the genetic and molecular mechanisms of addiction in a multi-disciplinary approach including genetics, behavior, circuit analysis, imaging, hi-throughput genomics, and
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and sequencing Illumina and/or Nanopore sequencing libraries, or implementing and optimizing Ribo-Seq or ribosome profiling, or analyzing large-scale genomic data (e.g., entire genomes and
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hours, in accordance with the CLA Wageningen Research (scale 11-12). As for your contract, we initially offer a one-year contract that can be extended - if possible within (company) organizational
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Qualifications: A history of team-based inter/multi-disciplinary research is considered an asset, particularly work on externally funded projects (e.g., U.S. Department of Energy) and projects involving diverse
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experts focused on advancing the state of the art in AI security at a national and global scale. Our tasks include vulnerability discovery and assessments for AI systems, evaluation of the effectiveness
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education, conduct applied and policy-relevant research, and serve the public in the design and development of sustainable, resilient, and livable cities. Our work is consistently applied, multi-disciplinary
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and human health risks. The work will require interdisciplinary approaches to integrate and analyze a multi-year dataset that includes both in-situ water quality monitoring data, fish sample analysis
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to data-driven research projects focused on glaucoma, diabetes or nAMD using large-scale clinical and imaging datasets. Develop, validate, and implement machine learning models and statistical tools
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experts focused on advancing the state of the art in AI security at a national and global scale. Our tasks include vulnerability discovery and assessments for AI systems, evaluation of the effectiveness
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reactor concept is developed with two other research groups at the TUM Campus Straubing who specialize in electrochemical processes. The final goal is to build a demonstrator on the mini-plant scale