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with machine learning and, ideally, federated and/or deep learning methods intermediate to high level of statistical and mathematical skills excellent oral and written communication skills in English In
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vegetation ecology. You have hands-on experience with ecological data collection and are proficient in data analysis and statistical methods. You are willing to travel to field sites across Europe, and
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communication and willingness to have a societal impact; an empirical research focus and knowledge of quantitative content analysis and computational methods; proven proficiency in statistical software such as
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understanding of vegetation ecology. You have hands-on experience with ecological data collection and are proficient in data analysis and statistical methods. You are willing to travel to field sites across
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motivated and independent researcher with: a PhD in marine biology, ecology, or a related field. experience in marine mammal research, particularly in data collection and (statistical) analysis. strong
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understand data, and then make useful predictions based on it. These algorithms integrate insights from various fields, including statistics, artificial intelligence and neuroscience. To find more information
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, the adaptation of the ECSS NG to the ESA Mission Classification pre- tailoring activity (both for PA/QA and engineering disciplines) and updating pre-tailoring statistics accordingly. actively contributing
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analyses to explore potential pathways for behavior change and identify key factors that influence success. Applying machine learning, statistical techniques, and AI to analyze data, predict events, and
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Postdoctoral Researcher in Innovation&Investment Policy for Hydrogen Clusters in the EU(0.8-1.0 fte)
/or a publication; Experience in using statistical software (preferably Stata or R); experience with interview-based or case study research is a plus Demonstrated interest in applied microeconomics