219 programming-"Multiple"-"U"-"Prof"-"U.S"-"FEMTO-ST-institute" positions at Nature Careers
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in data science, computer science, computational biology, or a related field Solid programming and data science skills, including familiarity with Linux, Python programming, version control, continuous
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Job Summary: Responsible for leading and managing an independent research group within the Generative Biology Institute (“GBI”), delivering a program of bold, ambitious and transformational research
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or laboratory analyses. Familiarity with statistical analyses and data integration across multiple sources. Collaborative skills and ability to demonstrate commitment in teams Motivation to pursue a scientific
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of machines and structures in collaboration with other departments from Aarhus University and multiple industrial partners; including a world leader in sensing technology. In particular, the algorithm platform
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integrative therapy approaches. As a successful candidate you will: Devise, plan, document, and advance basic science and translational projects in genetics, epigenetics, and precision oncology
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innovative solutions in scientific publications, as well as filing patents. Support for the team in all programming tasks to create maintainable and documented software solutions. In the framework
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The Cancer Science Institute of Singapore (CSI) is seeking outstanding and visionary researchers for multiple faculty positions, ranging from Assistant to Full Professor. As a globally recognized
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sciences are essential. The School values candidates with a clear research vision and a collaborative, cross-disciplinary approach that connects multiple research groups and creates synergy. The University
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at the institute operate across multiple scales of biological resolution in the areas of Structural Biology, Molecular and Cell Biology, Developmental Biology, Genomics, and Evolutionary Biology. We seek an early
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, heat, hydrogen) at multiple spatial and temporal scales. These infrastructures form the technical backbone of the digital twin platform and enable scenario-based assessment of system reliability