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reference frames, transformations, international connections, geoid modelling and metrology. Website for additional job details https://valtiolle.fi/en/jobs/phd-student-postdoc-15184/ Work Location(s) Number
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methodology for analysing long-term spatially structured data sets within a joint species distribution modelling framework. For more information on REC, please see https://www2.helsinki.fi/en/researchgroups
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communities. Candidates should possess a PhD in population genetics, evolutionary ecology, or a related field, with proven expertise in spatial statistical skills. We seek candidates with the ability
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the spatial heterogeneity of CH4 emission using analytical footprint model and a lagrangian stochastic transport model. About the position Depending on the appointee’s competency and the type of employment
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. Integrate environmental, spatial, and social data into digital twin models for scenario testing and policy simulation. Adapt co-design methods to local contexts in demonstrator sites (Portugal, Sweden, Italy
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facilities with access to the state-of-the art technologies. Qualifications We invite applications from candidates with a solid theoretical and wet-lab background and a PhD degree in cell/molecular biology