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Biostatistics (MEB). The group studies biological mechanisms, risk factors, and resilience processes underlying health and disease during aging, with a particular focus on preclinical dementia and cardiometabolic
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science (DDLS) uses data, computational methods, and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and
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researchers whose aim is to define and understand the biological processes underlying neurodegenerative diseases. Our research is translational and includes studies on patient cohorts and cognitively healthy
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level in computational biology, physics, applied mathematics, computer science, bioinformatics, structural biology, or a related subject or completed courses with a minimum of 240 credits, at least 60 of
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geophysical models developed in parallel projects The work will focus on establishing the geometry, kinematics and reactivation history of basement-rooted structures and evaluating their role in
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of microbial communities using 16S rRNA gene sequencing, followed by bioinformatic analysis. It further includes applying hierarchical and mixed‑effects models and integrating microbiome data with environmental
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quantitative genetics and plant biology. We expect the candidate to have an academic background in plant genetics and genomics, ecology, plant biology, agronomy, bioinformatics, biotechnology or a related field
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of Molecular Medicine and Surgery The Department of Molecular Medicine and Surgery (MMK) carries out both preclinical and clinical research within numerous fields. Linked to the Department are approximately 450
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, your work will explore key aspects of telomere dysfunction, including DNA end processing, chromatin dynamics, and repair outcomes. The research will be experimental character, including cell culture
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(or equivalent) in biochemistry, biotechnology, bioinformatics, chemical biology, or a related field - Strong proficiency in spoken and written English Meriting qualifications: - Experience in protein engineering