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Postdoctoral researcher in marine ecosystems modelling for the Marine and Continental Waters Program
Responsibilities: Conduct a literature review and data collection related to coastal oceanography, nutrients, pollutants, and HAB dynamics. Conduct data analysis and predictive models on the occurrence of nutrients
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Institut de Recerca Biomèdica de Lleida, Fundació Dr. Pifarré (IRBLleida) | Spain | about 21 hours ago
with miRNA, including extraction, detection, and inhibition assays, as well as basic bioinformatic analysis of sequencing data -Proficiency in cell culture techniques, including transfection and
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web page: https://www.iac.es/en Tasks:The successful candidate will pursue research in the following fields: Detection and analysis of extrasolar planet systems, especially around binary stars. Analysis
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of the experimental part (design, develpment (ocasional), and data analysis) as well as publication of results. Where to apply Website https://www.fjd.es/iis-fjd/es/formacion-empleo/ofertas-empleo/investigador-post
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materials. Fabrication and characterization of complete perovskite solar cells. Tasks: Synthesis and functionalization of materials, especially Pb-free Metal Halide perovskites (MHPs), including all inorganic
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of quantitative analysis techniques, specifically in the analysis of political attitudes using survey data. Proficiency in statistical software such as STATA and/or R is required. Languages: Fluent English
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to ERC project ATRAPA – Active Travel Backlash Paradox, in particular within the WP3 dedicated to electoral analysis. The main objective is to investigate the political consequences of urban interventions
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-matter model of biological tissues. The analysis will comprise both analytical calculations and numerical simulations. The candidate will also analyze experimental data from collaborators to infer
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Expertise in mRNA-Seq, ChIP-Seq and downstream bioinformatics analysis Experience with genetically engineered animal models for the study of the immune system Excellent organizational, writing and
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. Skills in modelling and analysis using machine learning tools. Experience in environmental and economic assessment and in feasibility and replicability studies. Scientific production (Q1) and technical