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) or Machine Learning models. These tools will be integrated with physics-based models of environmental loading (waves and wind) to enhance the accuracy and robustness of the assessment. All components assembled
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(e.g., Kalman Filter) or Machine Learning models. These tools will be integrated with physics-based models of environmental loading (waves and wind) to enhance the accuracy and robustness
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PhD: Semantic Modelling of Geodata Sources and Geo-analytical Workflows Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40
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. These tools will be integrated with physics-based models of environmental loading (waves and wind) to enhance the accuracy and robustness of the assessment. All components assembled together will finally inform
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/Qualifications Master’s degree in Hydrology, Environmental Sciences, Geoinformatics, Engineering or related fields Knowledge of flood hazard and risk modelling Strong programming skills in Fortran, Python, R
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species like birds and bats. Combining PAM with occupancy modeling allows for large-scale ecological studies, assessing both individual species and community responses to environmental changes. In this 4
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Do you want to study the biological effect and environmental fate of biotechnological peptide-based pepticides? And do you see yourself as a teamplayer who is strong in collaboration? If yes, we
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genetic, phenotypic, and environmental data, testing when and how evolution can be forecast. As a PhD student in our group, you will gain hands-on experience in computational and mathematical modeling and
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offered in this context, with the objective of modelling, coding, and field-validating a new mechanistic analysis tool for pavements containing fungal-bound granular layers. The research will focus on urban
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Department of Wildlife, Fish, and Environmental Studies The position is placed at the Department of Wildlife, Fish, and Environmental Studies at the Swedish University of Agricultural Sciences in