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changeYears of Research ExperienceNone Additional Information Eligibility criteria • Minimum training: PhD in atmospheric physics and chemistry, with significant experience in in situ data analysis. • Good
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/ programming; Python highly desirable (or proven expertise in other languages). 3. Solid knowledge of statistical methods and data analysis. 4. Prior research experience with Machine Learning is a valuable asset
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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater
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position: Postdoctoral Research Fellow for Large-Scale Longitudinal Data Analysis in Empirical Education Research (m/f/d, E13 TV-L1, 100%, for 3 years with potential of extension for 3 more years) We are
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Applications are invited for a Senior Researcher in Geospatial Foundation Models for the Analysis and Compression of Atmospheric Data with Focus on Clouds position. This position, part of EU Horizon
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Job Description Are you experienced in WGS data quality control and analysis from bacterial isolates? Do you have a strong interest in genomics and antimicrobial resistance (AMR)? The Research Group
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funded through a MERGE initiative to exploit these measurement data to clarify how different ecosystems influence aerosol particle properties and their climate effects. The project investigates how
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supports the astrophysical data analysis of current and future gravitational-wave detectors. The LIGO Laboratory anticipates having one or possibly more data analysis postdoctoral research positions
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data processing, image/signal analysis, and machine learning. ✅ Familiarity with instrument control, calibration, and automation workflows. ✅ Excellent written and oral communication skills in English
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analysis. Yet, there is a need for a comprehensive computational framework that can better integrate the information derived from both experimental and computational analyses and help chemists analyse