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Field
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Values, and a community of caring and collaboration. Amenities associated with a major university, such as sporting and cultural events, state-of-the-art recreation facilities, the Bush Library and Museum
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of research? Join the team of Evidence Synthesis specialists and the Open Science Program at Carnegie Mellon University Libraries, where we are working to investigate and promote open science principles within
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the computational foundations of probabilistic programming, such as automatic differentiation, tensor libraries (PyTensor, JAX), gradient-based samplers, or model transpilation and compilation. Experience with
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. Amenities associated with a major university, such as sporting and cultural events, state-of-the-art recreation facilities, the Bush Library and Museum, and much more await you. Experience all that a big
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libraries (e.g., PyTorch, TensorFlow, NumPy, pandas, scikit-learn). *A publication record in peer-reviewed journals or top-tier scientific conference proceedings appropriate to career stage. *Excellent
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for analysing movement and behavioural data. Strong knowledge of statistical analysis, experimental design, and reproducible computational research. Experience with scientific Python libraries (NumPy, SciPy
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ultrasound sensing and hyperspectral imaging is necessary. Proficiency in Python programming, particularly with Python libraries such as Spectral Python (spectral), NumPy, SciPy, and OpenCV and familiarity
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to on-campus gyms and libraries. How to Apply The University only accepts online application for the above post(s). Applicants should apply online at the University’s Careers site (https://jobs.hku.hk ) and
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to visit your local library, or local Department of Labor. You may also request an appointment to use a dedicated workstation in the Office of Talent Attraction and Recruitment, at the Ithaca campus, by
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isolation, sequencing library preparation, quality control, transcriptomic analysis, or other omics-based approaches, are strongly encouraged to apply. Excellent written and verbal communication skills