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- Human Technopole
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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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nanowires with tunable properties and applying them in functional electronic systems, supported by state-of-the-art facilities and international collaborations. Qualifications Applicants should hold a Ph.D
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particular, they are expected to conduct internationally competitive research and establish collaborations both within the department and with other research groups at CIMAT, as well as with national and
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laboratory in collaboration with technical staff, postdoctoral researcher, research scientists, and graduate students. Through these activities, the successful candidate is expected to develop practical skills
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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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consulting projects with the private and public sectors; advise graduate students in their research processes. Participate in accreditation activities and collaborate strategically with the academic body
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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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, candidates will also have opportunities to engage in interdisciplinary research and collaborative projects with experimental research groups and industrial partners. We encourage researchers to pursue