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Postdoc in Genetic Epidemiology – Statistical Genetics | Human Technopole, Milan Build the science that shapes the future of human health. Application closing date: 26.02.2026 Join a place where
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Job Description Required Qualifications: (as evidenced by an attached resume) PhD degree (or foreign equivalent) in Biomedical Sciences or a closely related field. Strong competence in Molecular Biology
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biology and gene regulation, and how this position fits into your long-term career goals. Qualifications Required Qualifications, Competencies, and Experience: • PhD, or equivalent degree, in biochemistry
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counting algorithms), and statistical physics. About You The successful applicant will have, or soon obtain, a PhD degree in mathematics or related, or equivalent level of professional qualifications and
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independent and collaborative research leading to publications in high-impact international journals Develop and apply advanced geospatial, statistical, and AI-based methodologies Contribute to international
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, statistical modeling, interpretation of metabolomic signatures, and integration with cardiometabolic outcomes. Assist with Data Management and Sharing activities, including data curation, documentation, quality
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, clinical and histological data in a translational framework. Main activities: - Bioinformatic analysis of WES and RNA-seq data. - Somatic variant detection and annotation. - Statistical and clinical
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Education PhD Required Qualifications Must be a nurse and have at least one nursing degree; PhD in nursing preferred. Publication record of common human subjects research methods with statistical analysis
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qualitative work. About You Candidates should hold a PhD (or be close to completion) in a relevant discipline, such as epidemiology, social epidemiology, data science, or medical statistics. We are looking
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Postdoc position in method development in human statistical genetics, with a focus on classificat...
University. Dr Speed's research involves developing statistical methods for better analysing data from genome-wide association studies (GWAS), with a particular focus on improving our understanding of human