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Field
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, including differences related to sex and ethnicity. The resulting methodologies and datasets will support many of the other CDTnet projects by providing population-scale digital twin frameworks that can be
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | about 19 hours ago
Neighbourhoods with Different Levels of Accessibility" (Project Reference: DUT/0007/2022), funded by the Foundation for Science and Technology (FCT, I.P.). DOI: https://doi.org/10.54499/DUT/0007/2022
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skills in longitudinal and trend analyses of survival, mortality, and disease burden. Contribute to research aimed at improving understanding of population differences in CKD burden and identifying
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or python. An interest in evolutionary biology, comparative genomics or the biology of early-diverging animals would be beneficial, although applicants primarily trained in molecular pharmacology, cell
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, including using AI/computer vision tools Experience with R or Python for data analysis Experience designing and conducting laboratory-based animal behaviour studies Experience in writing papers
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learning, and computational modelling. The doctoral candidate will investigate how pressure differences can be calculated directly from magnetic resonance imaging (MRI) and ultrasound data, reducing the need
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use, zoning, property taxation, or housing finance policy. Working proficiency in econometric, statistical, or qualitative analysis software (e.g., Python, R, Stata, NVivo, EViews) and/or GIS and data
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or python. An interest in evolutionary biology, comparative genomics or the biology of early-diverging animals would be beneficial, although applicants primarily trained in molecular pharmacology, cell
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listed in the project description above (ideally SAR for cryosphere applications) Strong programming skills (preferably Python or MATLAB) Strong background in statistics Fulfillment of the requirements
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surface waters, preferably in estuaries; Experience in fieldwork and processing of oceanographic data (in particular CTD data); Knowledge of MATLAB or Python; Experience in numerical modelling; Fluency in