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/Video-Producer_REQ205451 Job Description: About Brown: Brown University is a leading research university distinct for its student-centered learning and deep sense of purpose. Our students, faculty and
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targets for therapy. Recommended literature: Zeni and Mraz LncRNAs in adaptive immunity: role in physiological and pathological conditions. RNA Biol. 2021 May;18(5):619-632. https://pubmed.ncbi.nlm.nih.gov
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within the framework of project FLUIDNET: A Novel Deep Learning Architecture for Solving Viscoelastic Fluid Flows with reference 2024.13980.PEX, financed by national funds through FCT/MCTES, under
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an environment of care that nurtures the whole person-mind, body, and spirit. Here, you will find a deep sense of belonging, a culture that prioritizes well-being, and the opportunity to grow your career while
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(www.venturellilab.org) is seeking highly motivated researchers or postdoctoral researchers with expertise in machine learning, deep learning, and/or nonlinear dynamical systems to join our interdisciplinary team. Our
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development, curriculum development, teach courses, within the program, program management, and liaising with industry and academic experts to ensure our offerings remain at the forefront of Healthcare
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and deep understanding of the global higher education landscape. The ability to thrive in a complex, fast-changing environment. The University of Leeds offers a range of benefits including excellent
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this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/policy-covered-october-2025-scales/t1.pdf . The current full-time base salary range for this position is $80,800-$212,000 (9-month
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and Applications, R Language for Statistics, Data Mining with Big Data, Artificial Intelligence and Deep Learning, Statistical Reasoning for Business Decisions, Data Visualization; Highly Desired: Text
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, OpenPose, homography estimation, optical flow). Experience with eye-tracking data collection or analysis. Familiarity with deep learning frameworks (PyTorch, TensorFlow). Experience working with multimodal