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Computing Applications group in CSD has an immediate opening for a Postdoctoral Research Associate to design, develop, and deploy machine-learning and high-performance computing workflows, algorithms, and
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. Demonstrated commitment to continuous learning, improvement and multi-skilling with an ability to adapt to changes in work methods and the working environment. Experienced in the use of computerised
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Term: Initially 1 year, renewable. Appointment Start Date: As early as February 2026, but flexible Group or Departmental Website: https://med.stanford.edu/bridge-lab.html (link is external) How to Submit
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interdisciplinary thinking. Opportunities to learn and collaborate through Dr. Rodriguez’s affiliation with Yale’s Wu Tsai Institute . What you’ll do: Design and build a state-of-the-art deep-tissue imaging platform
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candidate. Who We Are Information and Technology Services (ITS) supports U-M faculty, researchers, staff, and students in their use of technology to teach, learn, research, and work, and be leaders in
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atmosphere that fosters deep and impactful relationships with students and families from all walks of life over many years. P.K. Yonge is committed to creating a learning environment to support the needs
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include designing new courses and concentrations; mapping program learning outcomes; and guiding the portfolio through internal curricular review and continuous improvement processes. The Director will also
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those related to climate change, forest health, and sustainability. Teach undergraduate and graduate courses that appeal to students across natural resources and forest management. Advise and mentor
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
recruitment strategy for Australia’s national university, strengthen equity and access, and expand transformative global learning experiences for students. Reporting to the Deputy Vice-Chancellor (Education
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Information , Data Visualization , Deep Learning , High dimensional Data , Large Language Models , Large Scale Optimization , Machine Learning , Natural Sciences , Public Interest Tech Computational Biology