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Field
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. For more information, please visit https://www.helsinki.fi/hilife/bi
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. Experience and knowledge: Required: Experience with genomic analysis, bioinformatics workflow development, phylogenetics or phylodynamics, AI/ML and/or scientific data visualisation highly beneficial. Previous
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, Regional and Local Planning, or related fields; Experience working with Geographic Information Systems (GIS); Knowledge of databases and data systems; Experience in quantitative and spatial analysis methods
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simulations, analysis of the model results, and data analysis Prepares research presentations, manuscripts, and proposals Additional duties and responsibilities: Assists in coordination between modeling, field
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validation in real-world settings (i.e. schools, difficult-to-reach participants) where the survey is being used to collect outcome measures for evaluation, (c) Quantitative data analysis using the R
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super-resolution microscopy (e.g. STED, SIM) or single-molecule tracking - knowledge of a scripting language or data analysis tools (e.g. Python, R, or similar) What we offer: - a modern
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Europe Programme. The successful candidate will support research activities related to geographic information systems (GIS), territorial indicators, open science, public policy analysis, statistical data
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for data analysis and reports and articles. The postholder will ensure data accuracy, harmonisation, and comparability across both primary and secondary datasets in Ireland and Northern Ireland that will
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analysis of experimental data; knowledge in research work in the field of experimental biology, demonstrating familiarity with the use of in vitro models (namely primary cultures of neurons and/or astrocytes
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This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu