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strong background in computer science, programming, data analytics (statistics and/or machine learning) and/or data security. Applicants must document fluency of in English and be able to work in an
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experience with statistical analysis tools including R scripting. Wet-lab experience working with the isolation and analysis of biological macromolecules. Good analytical skills. Professional and personal
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position The research group BIAS (Bioinformatics and Applied Statistics), Faculty of chemistry, biotechnology and food sciences (KBM) at the Norwegian University of Life Sciences (NMBU) has a vacant three
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of evapotranspiration using remotely sensed data and climate data. Statistical- and scenario analyses addressing impacts of treeline expansion on runoff. Write and publish scientific papers. The successful candidate is
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The position A PhD position in machine learning for graphs and time series data is available at the Department of Mathematics and Statistics , Faculty of Science and Technology . The position is financed by
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solid state physics/material physics, soft/complex and biopolymer physics, medical physics, statistical physics, optics, atmospheric physics, university didactics and astro-particle physics
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Loève and Harald Cramér in the 1930’s and 40’s. This approach enables the modeling of spatial inhomogeneities and/or temporal nonstationarities, and it provides consistent statistical formulations
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Harald Cramér in the 1930’s and 40’s. This approach enables the modeling of spatial inhomogeneities and/or temporal nonstationarities, and it provides consistent statistical formulations of moments
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, contribute to technical committee meetings. Required selection criteria You must have a relevant background in computer science and engineering, communication, mathematics, or statistics. Your education must
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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