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, duties include literature review, data collection, data analysis and drafting manuscript. The appointee is expected to work with researchers at Life Science Imaging Center (LSIC). LSIC is a central
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. Qualifications Hands-on experience in data analysis An experience in astronomical/scientific data analysis is preferred. 1-year experience in Python programming is essential. (Required) Hands-on experience in data
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) collection, taxonomic identification, preservation, rearing of Culicidae, and laboratory analysis of samples; v) database management, descriptive data analysis, and preparation of technical-scientific reports
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analysis and content generation, with the aim of creating honeypots and botnets for fake news. Development of mechanisms for the advanced generation of efficient and easily generalisable prompts
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respond to sound in ways that influence physiology, root function and pollination. This project will combine experiments, analysis and multiphysics modelling to establish credible mechanisms, limits and
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analysis components and is part of a collaborative effort within the PEPR Cell-ID network. The successful candidate will be responsible for: ● Designing and implementing chromatin tracing experiments (Hi-M
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: https://www.uca.fr/recherche/presentation * Host Laboratory: https://celis.uca.fr * Information and resources on international mobility: Euraxess Auvergne Services Centre * Visa applications: Campus
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models for comparison with observational data. The successful applicant is expected to work in collaboration with the team led by Prof. Roberto Maiolino on the analysis and interpretation of observational
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experimental procedures and assisting with data collection and analysis. This role involves working with functional and ELISA assays, preparing reagents and solutions, operating basic laboratory instrumentation
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Italy | 9 days ago
collective computational systems. The goal is to develop and analyse techniques for analysis, modelling, and abstraction (e.g., coarse-graining, multi-scale models, information-theoretic approaches