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forecasting. Familiarity with ensemble methods, Bayesian approaches, and uncertainty estimation. Experience with large-scale or messy real-world data (structured and/or unstructured). Interest in or experience
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/biomechanical analysis, computer vision approaches to pose tracking from video, surface electromyography (EMG) recording and analysis, vocal recording and analysis, dataset preparation, time-series analysis
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approaches to examining gesture and/or vocalization, motion capture recording and motion/biomechanical analysis, computer vision approaches to pose tracking from video, surface electromyography (EMG) recording
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. Qualification requirements: Applicants must hold a degree equivalent to a Norwegian doctoral degree in geosciences, environmental sciences, computer/data science, physics, applied mathematics, or other relevant
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innovation; the project’s value for achieving the overall research aims of The Mathematization of Nature. the applicant’s estimated academic and personal ability to carry out the project within the allotted
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of The Mathematization of Nature. the applicant’s estimated academic and personal ability to carry out the project within the allotted time frame; quality of cooperative skills, and ability to successfully join in
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, computer/data science, physics, applied mathematics, or other relevant fields. Doctoral dissertation must be submitted for evaluation by the closing date. Only applicants with an approved doctoral thesis and