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its microscopic geometry, incorporating a wide variety of physical phenomena and using a modular structure that allows new physics to be added easily. More information is available at http
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field-10 val. b)Knowledge of data analysis (weighting of 0,15) - maximum 15 values With advanced knowledge and experience in data analysis-15 val. With knowledge and experience in data analysis-10 val
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• Develop new computational research projects on contemporary antisemitism • Build computational pipelines for social media data collection and analysis • Supervise graduate and undergraduate research
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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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. Experience with the analysis of space-based photometry and/or ground based radial velocity observations. Direct experience with CHEOPS data will be considered added value. Experience with the analysis
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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Developing solutions to integrate large foundation models
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, psychology, neuroengineering or a related discipline. A PhD in one of these fields and proven experience in programming for data analysis are required. Previous experience in neurophysiological data analysis
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advancing our new and improved method for the analysis of clock data using a multitaper spectral analysis approach [2]. The fundamental methodology around frequency stability analysis of clock data hasn’t
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of the shelf life of the products under study; Support in data analysis using R software; Support in the dissemination and exploitation of the results obtained in the work. Interested candidates should submit
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assist the FP&A team with data analysis, forecasting and compliance activities, contributing to sound financial management and service improvement. The role is supported by a fully funded training package