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Field
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
biological effects, including changes in primary production, community composition, and poleward shifts of species. Species that are endemic to the high southern latitudes and specially adapted to cold
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of Chemistry is equipped with state-of-the-art analytical, experimental, and data processing methods and is integrated into a strongly interacting and collaborating scientific environment with the Departments
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to ion beams with well-controlled energies and incident angles for benchmarking and validation of theoretical calculations and computational physics and chemistry modeling of important surface processes
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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
five bioclimatic zones. Your task will be to combine multi-source data — including field observations, environmental measurements, and satellite imagery — with mechanistic models to assess carbon
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, or landscape modelling Further, we will prefer candidates with some of the following qualifications: Teaching and supervision experience at the BSc and MSc level Interest and preferably experience in developing
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will be informed about the composition of the committee, and each applicant is given the opportunity to comment on the part of the assessment that concerns him/her self. Once the recruitment process is
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., Laclau, J. P., Guillemot, J., Mareschal, L., Nouvellon, Y., & Delpierre, N. (2021). Potassium limitation of wood productivity: A review of elementary processes and ways forward to modelling illustrated by
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://www.lcbc.uio.no. Job description Develop quantitative models to estimate how the brain and various cognitive processes change throughout life. Process and analyze data from multiple sources, including behavioral
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applicants will be informed about the composition of the committee, and each applicant is given the opportunity to comment on the part of the assessment that concerns him/her self. Once the recruitment process
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contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with