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++, and Python. Experience with software design, development, debugging, testing, and maintenance in Linux-based environments. Experience using version control systems such as Git and collaborative
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postdoctoral research positions within a multidisciplinary project supported by Schmidt Sciences under the VIEW programme. The project, in collaboration with Imperial College London, EPFL, and multiple partners
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proficiency in statistical analysis and programming, with experience using multiple analytic tools (e.g., SAS, R, Python, SPSS) and developing reusable, well-documented code. Strong data science and management
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an international team of researchers across multiple disciplines at the University of Lincoln, UK, in collaboration with the University of Tulane, USA. Insect eggs are incredibly intricate and complex structures
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disease, idiopathic pulmonary fibrosis, cardiovascular disease, and atherosclerosis. Specific duties: Write Statistical Computer Programs with R or Python: R or Python: Enhance data visualization
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discipline. Strong programming skills in C, C++, and Python. Experience with software design, development, debugging, testing, and maintenance in Linux-based environments. Experience using version control
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datasets from multiple sources into a unified and coherent data framework. Data curation, cleaning and harmonization, including taxonomic standardization and alignment with existing reference databases. Data
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using integrated measurement, modelling, and statistical approaches. The team works across multiple spatial scales to understand how environmental exposures affect human health and to generate scientific
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which