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are meteorology, mesoscale modelling, analysis and interpretation of meteorological datasets. We are also interested in hearing from researchers with oceanographic, as well as meteorological, science background
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statistical methods for modelling and data treatment engage in teaching, innovation and advisory activities in relation to food technology, food chemistry, and food nutrition in a broad sense. Teaching
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of the following fields: nutrition sciences and related health impacts, sustainable food production and consumption, use of food survey data, food systems optimization, environmental life cycle assessment and
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a citizen science component to gain a broader data foundation and raise awareness of the issue. The results will support management measures and policy initiatives to reduce plastic pollution