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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
based on experimental and computational data. Establish predictive models based on artificial intelligence methods. Utilize the developed models to design and optimize the properties of materials. Conduct
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Research Associate to join the AI-Design Lab (AiDLab) — a pioneering collaboration between the RCA and the Hong Kong Polytechnic University (HKPU), funded by the InnoHK programme. AiDLab brings together
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Job Description St. Jude is seeking outstanding candidates for postdoctoral fellowship positions in the Childhood Hematological Malignancies Training Program. This prestigious, NIH-sponsored T32
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Abstract: This research assistant focuses on the design, prototyping, and testing of bio-inspired drones, inspired by the aerodynamics and adaptability of natural flyers such as birds and bats
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: Design and train vision–text transformer architectures for multimodal fusion (RGB + thermal, intraoperative video, OR signals, EHR, surveys); develop temporal and cross-attention components
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Many groups in Canada are underrepresented in faculty and academic leadership positions. Yet, research shows that diversity sparks creativity and strengthens scientific quality, innovation, and
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qualifications In this project, we advance an AI-driven T cell-targeting strategy based on de novo-designed peptide-MHC (pMHC) binding proteins. Using computational protein design, we create synthetic recognition
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Preferred Qualifications: We are interested in candidates with general research experiences in quantum optics and quantum information science. Priority is given to candidates with experience on the design
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Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
hybrid scientist who wants to help define a next-generation research program at the intersection of microbiology, genomics, and quantitative biology. St. Jude is an Equal Opportunity Employer No Search
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses