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29 Feb 2024 Job Information Organisation/Company University of Bergen Department Department of Mathematics Research Field Mathematics » Statistics Mathematics » Probability theory Researcher Profile
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dynamics) processes influencing energetic particle precipitation into the atmosphere statistical methods for handling complex data Experience from data analysis using scientific programming, e.g., Matlab
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precipitation into the atmosphere statistical methods for handling complex data Experience from data analysis using scientific programming, e.g., Matlab or Python, is a requirement. Experience from following is
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energetic particle precipitation into the atmosphere statistical methods for handling complex data Experience from data analysis using scientific programming, e.g., Matlab or Python, is a requirement
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on these hypercubic inference approaches, and several members in clinical research dealing with the clinical data. Training will be provided on these methods, and the applicant should have experience with statistical
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dealing with the clinical data. Training will be provided on these methods, and the applicant should have experience with statistical/mathematical modelling and computational biology. Qualifications and
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PhD: Development and application of Machine Learning for downscaling climate predictions/projections
Mathematics » Statistics Researcher Profile First Stage Researcher (R1) Country Norway Application Deadline 30 Apr 2024 - 23:59 (Europe/Brussels) Type of Contract Temporary Job Status Full-time Hours Per Week
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on these hypercubic inference approaches, and several members in clinical research dealing with the clinical data. Training will be provided on these methods, and the applicant should have experience with statistical
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PhD: Development and application of Machine Learning for downscaling climate predictions/projections
countries. Qualifications and personal qualities Applicants must hold a master's degree or equivalent education in atmospheric sciences, statistics, computer science, applied mathematics or related
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PhD: Development and application of Machine Learning for downscaling climate predictions/projections
centres in Europe with around 200 scientists from 37 countries. Qualifications and personal qualities Applicants must hold a master's degree or equivalent education in atmospheric sciences, statistics