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FieldAstronomyYears of Research ExperienceNone Additional Information Eligibility criteria - PhD in astrophysics or a related field. - Experience in data analysis. - Proficiency in Bayesian statistics and nonparametric
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in R or Python Desired - evidence of strong computational skills and large dataset analysis - experience with hierarchical Bayesian modeling - expert knowledge of plant functional ecology - fluency in
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filtering metals. REMMIA offers a much more environmentally friendly and efficient alternative for purifying and recovering key materials for the green transition. The consortium consists of five partners
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virtual chemical library screening pipeline on a computing cluster (4,000 cores). - Develop protocols for aggregating, processing and filtering the data resulting from the pipeline. - Design an interactive