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. Describe a deep learning project you have executed—ideally a creative use of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy
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University of California Office of the President | Oakland, California | United States | 3 months ago
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 16-Jan-26 Location: Oakland, California Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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of expertise. In keeping with the philosophical position of the program, this individual would alsobe responsible forteaching COMM 110 (basic oral communication course) on a regular basis in both an on campus
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tools such as scientific computing, High Performance Computing (HPC), Big Data (Spark, DBMS), Machine Learning, cloud computing services (AWS, Azure, GCP), Massive Parallelism paradigms (MPI, OpenACC
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recommendations for adaptation of new technologies, procedures, or policies; investigate security incidents; perform computer forensics studies and maintain incident tracking records. Prepare status reports
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diseases. Additional details about the lab can be found at http://ismagilovlab.caltech.edu/ Essential Job Duties Assist graduate students, postdocs, and research staff with bioinformatics/computational
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Qualifications ● Graduate of an accredited ACGME Emergency Medicine residency training program ● Board eligible/certified with the American Board of Emergency Medicine (ABEM) ● Licensed or ability to obtain
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, including interviewing and collaboration. Ability to work effectively individually with little supervision and collaborate to achieve goals in a team. Familiarity with Adobe Creative Cloud, Asana, Canva
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monthly reports of communication initiatives that quantify their success and identify areas of improvement. Project Management & Collaboration - 20% Facilitate discussions with program areas to define
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. Data Science b. Modern Database design and development (SQL and/or NoSQL) c. Blockchain technologies d. Cloud Computing, Embedded Systems, Internet of Things or related technologies e. Machine Learning