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measurements are most informative and guiding where, when and how to observe next. By combining Bayesian inference, probabilistic modeling, and machine learning, the project aims to make Arctic observations more
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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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measurements are most informative and guiding where, when and how to observe next. By combining Bayesian inference, probabilistic modeling, and machine learning, the project aims to make Arctic observations more
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, including the Norwegian Core Facility for Human Pluripotent Stem Cells. The postdoctoral fellow will work within a diverse, international research environment that is highly networked nationally and
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research environment that is highly networked nationally and internationally and with a research profile and collaborations covering stem cell biology, developmental neuroscience, clinical neurology, micro
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may be developed. The main tasks of the postdoctoral fellow will be within field-based (WP1) and model-based (WP2) approaches. The postdoctoral fellow will be integrated into a national network of
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fellow will be integrated into a national network of researchers, companies and stakeholders. During the 4-year postdoctoral period, the successful candidate shall allocate 25% of normal working hours (i.e
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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