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Università di Pisa - Dipartimento di Patologia chirurgica, medica, molecolare e dell'area critica | Italy | 14 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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-hoc data extracts, data dashboards, and external reporting deliverables. Engage with stakeholders, conduct business analysis, and gather requirements. Facilitate collection of data to address specific
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workflows and contribute open source tools for use in data analysis Present your results at international conferences, publish in peer-reviewed journals, and contribute to training activities within
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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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, epidemiology, public health, pharmacogenetics, medicine, pharmacology, pharmacy), with a main focus on the use and analysis of large amounts of data throughout the life cycle of pharmaceuticals. The spectrum
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engineering, or a comparable field (Master’s degree) Knowledge of modeling, optimization, and data analysis of energy systems Interest in electricity markets, energy system analysis, and model-based studies
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Veterans Act) must invoke it and provide proofs. For veterans, proofs are listed at https://branitelji.gov.hr/zapošljavanje-843/843 . By applying, candidates consent to data processing under GDPR (EU 2016
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Veterans Act) must invoke it and provide proofs. For veterans, proofs are listed at https://branitelji.gov.hr/zapošljavanje-843/843 . By applying, candidates consent to data processing under GDPR (EU 2016
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, to analyse it and to write a report of the analysis. The successful applicant will have (or be near to completion of) a PhD in a relevant field with expertise in quantitative and/or qualitative analysis
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. Carrying out DNA extraction from stool and blood samples. Performing shotgun metagenomic sequencing (NextSeq 2000, Illumina). Bioinformatic analysis of gut and blood metagenomic data (baseline, temporal