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will help drive innovative research with the potential to improve human health. In this role, you'll work alongside scientists, trainees, and research partners in a dynamic environment that values
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machine learning approaches to investigate the mechanisms underlying GC-biased gene conversion and understand how meiotic recombination shapes human genetic variation and genome evolution. Working closely
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physical AI for smart urban management, with a focus on human–robot interaction in real-world urban environments. The postdoctoral researcher will support the design, deployment, and evaluation of physical
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contributions towards the presentation and publication process of findings at meetings and conferences. Physical Demands and Working Conditions Working with human subjects. Working withMRI and data analysis. Long
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serves as co-author on publications. Adheres to the policies set forth by TCH and Baylor College of Medicine (BCM) and understand and act on the need for discretion due to the sensitive nature of research
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Postdoc in Molecular Epidemiology – Statistical Genetics | Human Technopole, Milan Build the science that shapes the future of human health. Application closing date: 08.07.2026 Join a place where
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About the role Reporting to the Principal Investigator, Professor Philip Poole, the post holder will undertake research within a project addressing the looming nitrogen (N) crisis. With the human
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quality of human reasoning – specifically the capacity for genuine engagement with views that differ from one’s own (what the programme terms “doxastic plasticity”). The programme develops and deploys LLM
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to other sensory modalities may also be considered. These models will integrate species-specific anatomical constraints and ecological considerations to enable principled comparisons between human, macaque
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integrates demographic, clinical, and synovial fluid proteomics with a particular emphasis on identifying pathways associated with structural damage and knee pain. What We Offer As an employer, we genuinely