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images and the spatial distributions of OH and NO, and to develop a reproducible methodology for the neural network-based analysis of experimental data in combustion research. It is indeed possible
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knowledge of collaborative software tools, and experience with the implementation of data acquisition or analysis algorithms You have a good track record of published articles in peer reviewed journals
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sciences; experience in human genetic data analysis and bioinformatics applied to Neuroscience, preferably in Psychiatry, including genotyping or WES/WGS data; experience in genetic association studies (GWAS
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Università di Pisa - Dipartimento di Patologia chirurgica, medica, molecolare e dell'area critica | Italy | 19 days ago
21 Mar 2026 Job Information Organisation/Company Università di Pisa - Dipartimento di Patologia chirurgica, medica, molecolare e dell'area critica Research Field Medical sciences Researcher Profile
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and brain tissue collection / brain sample processing. Pathological study for relevant disease markers. Maintain detailed lab notebooks of procedures and experiments. Data analysis and presentation
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian You will be part of a dynamic research team working on topics relevant
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. Track project deliverables and provide status updates. Oversee and coordinate data management and assigned data analysis. Assist faculty and/or staff prepare abstracts and presentations related
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resistance, antimicrobial agents, proteomics, or metabolomics Proficiency in biological data analysis or a strong motivation to obtain the required skills (e.g. basic scripting and programming) is desirable
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26 Mar 2026 Job Information Organisation/Company CNRS Department Institut des MAtériaux poreux de Paris Research Field Chemistry Physics Technology Researcher Profile First Stage Researcher (R1
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. Your key responsibilities will be to: contribute to the design and analysis of epidemiological and clinical studies, including longitudinal and time-to-event data apply advanced statistical modelling