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Field
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, or academic librarianship? Join the team of the Open Science & Data Collaborations program at Carnegie Mellon University Libraries to help foster a more open, reproducible, and collaborative research landscape
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ultrahigh-throughput microfluidic screening to optimize mRNA for therapeutic purposes. mRNA libraries will be prepared by randomly combining different 5' and 3' untranslated regions (UTRs) identified
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background in machine learning, predictive modeling, or applied AI Proficiency in Python and/or R; experience with libraries like scikit-learn, XGBoost, TensorFlow. -Experience working with real-world datasets
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algebra methods targeting large-scale HPC systems. Optimization of linear algebra libraries for modern architectures (e.g., GPUs). Exploration of linear algebra methods in computational physics applications
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modeling, machine learning, and experimental studies, while offering the opportunity to contribute to open-source libraries and collaborate directly with an innovative startup partner. You will be
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. This unique position combines advanced finite element modeling, machine learning, and experimental studies, while offering the opportunity to contribute to open-source libraries and collaborate directly with an
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, medical benefits and free access to on-campus gyms and libraries. The University only accepts online application for the above post at the University’s Careers site (https://jobs.hku.hk ). Applicants
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languages, libraries, and platforms, and a strong interest in interdisciplinary research in the biological and medical sciences. Applications for this vacancy should be made online and you will need to upload
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experience of programming in Python, or demonstrated ability to rapidly acquire fluent knowledge of new programming languages, libraries, and platforms. Experience of close collaboration with researchers in
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commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries. The University only accepts online