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at unprecedented scale. As part of Human Technopole’s interdisciplinary AI ecosystem, you will engage closely with the European AI community, including through collaborations with Helmholtz Munich and connections
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at unprecedented scale. As part of Human Technopole’s interdisciplinary AI ecosystem, you will engage closely with the European AI community, including through collaborations with Helmholtz Munich and connections
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are seeking a Statistical Geneticist to contribute to innovative population and medical genomics research by developing robust analytical strategies and collaborating with multidisciplinary teams with a
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closely with data scientists, computational biologists, clinicians, ICT experts, and external collaborators to make biomedical machine learning models easier to use, test, and share across research
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to characterize CAR T-cell activation, persistence, cytotoxicity, and tumour cell responses. Generate high-quality functional and single-cell datasets and collaborate with computational colleagues to uncover
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, identify localized translation events, and characterize ribonucleoprotein complexes that drive ciliogenesis. Collaborations and interactions with all the involved Research Groups are highly encouraged
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appropriate analysis strategies for genetic and ‘omic data integrated into epidemiological investigations; Collaborating with external (including many international) researchers to lead or contribute to large
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strengthening external collaborations. Build and develop a high-performing Technology Transfer team, defining processes, mentoring colleagues and driving continuous improvement. Expand your influence and