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- Analytical Food Chemistry at Technical University of Munich
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combination of the CIGALE spectroscopic module with the 2D modules. They will then apply this new tool to the ALPINE CRISTAL sample to study the assembly of massive galaxies at z~5 using a very rich dataset
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science research. You will have experience of handling complex survey data at scale. The role holder will support this research using publicly available government and other data (which include NFHS, DHS
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. During the project, you will engage in field work to survey different types of ponds, collect samples for molecular analysis (e.g. eDNA analysis), and undertake computational research. It is expected
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inequalities between different population groups. The PhD project will utilize large scale individual-level datasets, such as register and survey data, with information on individuals, their housing situation
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’ team regularly collaborates with professional survey institutes, offering the option to reach larger and more diverse SME samples. Methods The project will primarily use quantitative methods based
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | about 1 month ago
, marine litter sampling, biodiversity surveys, and the use of innovative technologies for habitat monitoring. iii) Experience in science communication, outreach, and stakeholder engagement. To be admitted
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distinct groups: 20 patients with chronic kidney disease (stages 1 to 5). 20 dialysis patients. The sample will aim for geographical representativeness (contrasts between ultra-rural areas such as Aveyron
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website: www.tpjstudy.ie Using a longitudinal mixed methods study design comprising surveys (3 waves) and semi-structured interviews (one-to-one and focus group), TPJ explores the experiences of teachers
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of survey sampling Knowledge of structural equation modelling: this is for the PhD position in “small area estimation in presence of latent variables” Knowledge of data integration techniques (statistical
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academic writing skills. Desirable Knowledge of survey sampling Knowledge of structural equation modelling: this is for the PhD position in “small area estimation in presence of latent variables” Knowledge