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Field
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for aquatic organisms during winter. This project will use a space-for-time field survey approach to (i) assess the effects of lake oligotrophication and changing winter conditions on benthic biofilm
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-for-time field survey approach to (i) assess the effects of lake oligotrophication and changing winter conditions on benthic biofilm communities across different lake habitats; (ii) evaluate
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measures. o Work with other lead researchers to prepare samples across several surveys, including cohort rebalancing, and creating lists for target remails and for follow-up efforts. o Coordinate with
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sampling, stable isotope analyses and quantitative modelling. The candidate will contribute to fish and habitat surveys across mangrove–seagrass–reef gradients, sampling of fish, and the integration
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be used to combine these datasets while accounting for their different spatial scales, uncertainties and sampling frequencies. Machine-learning methods may also be explored for retrieval, bias
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quantitative and/or qualitative research methods and be willing to further develop expertise in advanced methodologies. Experience with survey research, content analysis, statistical software (e.g., R, SPSS
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Food. The National Forest Inventory (NFI) provides information on the condition and development of Norway’s forest resources, based on a nation-wide survey of permanent sample plots visited every five
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-based surveys were conducted in 2019 (Unono Wa Maoré) and 2021 (MayCov), respectively before and after the 2019–2020 dengue epidemic—the largest to date in terms of reported cases on the island
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(lab and field) experiments, econometric applications to register data or survey data, as well as qualitative research methods. PhD project proposals should be based on coherent theoretical arguments and
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compare the two approaches (traditional surveys and eDNA) in terms of detected richness, sensitivity, cost, and sampling effort, and to assess their complementarity for long-term monitoring of cross-border