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given to candidates with expertise and experience with large language models (programming, benchmarking, human-centered evaluation), strong data science / computational modeling / statistical analysis
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 7 days ago
. The research will be conducted in the Centre for Visual Computing of Collectives (VCC), part of the University of Konstanz and the Max Planck Institute of Animal Behavior. The VCC building is a modern, purpose
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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
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. Successful candidates will bring experience with survey methodology, psychometrics, and/or quantitative research design; along with proficiency in statistical analysis and data visualization tools
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of Health (LIH) is seeking a highly motivated Postdoctoral Researcher with specialized expertise in multi-omics data analysis. You will play a central role in analyzing large datasets from multiple large
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pipelines and visualization dashboards to communicate results effectively. Familiarity with geospatial data analysis and methods for extracting insights from unstructured data. Job Family Postdoctoral Job
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in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses on methodological development in cryo
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potentials data collection and analysis Knowledge of visual snow syndrome and migraine Excellent knowledge of written and spoken English Ability to work in a team Desirable criteria Ability to work
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archival of data and wood specimens. Contribute to hydroclimatic and dendroclimatic data analysis and visualization. Provide written and graphical support for project reports and publications. Assist with
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thresholds and perceptual decision making. Candidates should have expertise in the visual system, electrophysiological data analysis techniques, statistical analysis, computational modeling, and a track record