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(MSCA-PF) to pursue a career in research. We invite applications from promising young researchers within the field of Computational Biology & Ecological Modeling. The selected candidate will write a
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forecasting and edge computing for geoscience applications. Expected outcomes include: Development of machine-learning models capable of predicting sea-ice drift and deformation at 100–500 m spatial resolution
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Apr 2026 - 23:00 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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, demographic modelling, Bayesian hierarchical models and/or modelling with multiple data streams • Experience with data science and biodiversity informatics, in particular handling of scientific collection
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, demographic modelling, Bayesian hierarchical models and/or modelling with multiple data streams • Experience with data science and biodiversity informatics, in particular handling of scientific collection
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computational modeling. The postdoctoral candidate will: Analyze quantitative molecular and imaging data produced by other members of GENESIS. Develop new machine learning models to identify gene regulatory
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computational work package and develop the pipeline that operationalizes the theory and supports perceptual studies. This includes: contributing to method development on rhythm modeling; performing source
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that will develop and analyse computational models for electricity markets, the power system and hydro power scheduling. The position will be affiliated with the ENE Centre at the Department of Business