1,076 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Nature Careers
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-functional teams internally and externally to achieve defined outcomes aligned with departmental strategies. Plan, manage, and support the continued future-forward technical needs of the program. This includes
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research axes , as well as research programs in computational biology, addressing the challenges of biological process modeling and multi-scale data integration. Successful applicants are expected to secure
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plant science research aimed at tackling humanity’s greatest challenges. Establish, lead, and continuously evolve a flagship research programme in advanced genome technologies, with a particular emphasis
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Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
-or vice versa-who wants to grow into a scientific leader at the interface of data and biology. What You Will Do • Combine experimental and computational approaches to analyze bacterial responses
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The Chief Architect- Centre of Excellence(CoE) for Spatial Computing (AR/VR/XR) will pioneer DSU’s vision for the Industrial Metaverse, leading research and platform development in extended reality
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biological discovery, programmable biology, and AI-integrated experimentation. Through this program, AITHYRA aims to build a global faculty network that bridges computational and experimental sciences
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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM
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of Science and based in Odense. The department hosts research at a high international level and offers degree programmes in chemistry, medicinal chemistry, physics and pharmacy. We have approximately 150
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Job Description We are recruiting highly motivated individuals, committed to clinical excellence, to join our growing Hospitalist Medicine Program as a member of the clinical faculty. The rapidly
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the interface of computational biology, molecular science and translational medicine, generating large multi-omic datasets that require robust, reproducible analysis to identify rare signals with high accuracy