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to observe next. By combining Bayesian inference, probabilistic modeling, and machine learning, the project aims to make Arctic observations more efficient, intelligent, and impactful. You will integrate field
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systems to adapt and learn from data - identifying which measurements are most informative and guiding where, when and how to observe next. By combining Bayesian inference, probabilistic modeling, and
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for Molecular Medicine, a collaborative network that brings together leading research centres across the Nordic countries and the European Molecular Biology Laboratory (EMBL). Established in 2008 (formerly as the
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Partnership for Molecular Medicine . The partnership is a network of four national research centers across the Nordics and the European Molecular Biology Laboratory (EMBL) , with complementary research
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postdoctoral program of the Nordic EMBL Partnership for Molecular Medicine . The partnership is a network of four national research centers across the Nordics and the European Molecular Biology Laboratory (EMBL