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regulatory matters is a great advantage for the position. Important tasks of the work plan • Development of machine learning models for the classification of in vivo Raman spectra, applying chemometric methods
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plus Experience in the development and/or implementation of algorithms and/or computational pipelines Background/experience in building statistical and/or machine learning methods, in particular for data
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implementation of algorithms and/or computational pipelines Background/experience in building statistical and/or machine learning methods, in particular for data integration tasks, would be a plus Previous
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cutting-edge machine learning techniques to air quality data from a user-centered perspective Communicate scientific results within the Department, in international conferences and write quality papers in
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months of fieldwork in the Bolivian Amazon and to travel for academic conferences. Ability and commitment to work both independently and collaboratively as part of a research team. Commitment to learning
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Experience in large-scale statistical analysis of data Background/experience in building statistical and/or machine learning methods, in particular for data integration tasks, would be a plus Experience in the