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computational sub-team that includes computer scientists and computational PhD students, fostering an interactive environment of technical exchange, code review, mutual support, and collaborative problem-solving
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engineeringEducation LevelPhD or equivalent Skills/Qualifications 1.Degree in Mechanical Engineering or Aeronautical Engineering from Greece or abroad recognized by DOATAP) 2. PhD in a subject related to Computational
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of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code
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philosophy; philosophy of science; philosophy of physics; philosophy of humor; philosophy of race; philosophy of computation, technology, and artificial intelligence; metaphysics; epistemology; social and
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California State University, Los Angeles | Los Angeles, California | United States | about 10 hours ago
the Apply Now icon on this page or visit Faculty Lecturer Positions or https://careers.calstatela.edu . Please address all questions to the department chair, Kathryn Hillstrom, at: kgraves@calstatela.edu
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for this position. More About This Job Preferred Qualifications: Familiar with genomics assays and their computational pipelines, image processing (segmentation, spot calling, drift correction). Exceptional
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Communications. Teaching Profile: GITST: Transmission Systems; Digital Image and Video Processing. Research Profile: 3325 - Telecommunications Technology. Where to apply Website https://sede.upm.es/procedimientos
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and Experience Requirements PhD degree or equivalent in Electrical or Computer Engineering or a related area. Three to five years of teaching and/or industry related experience in the fields
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of manuscripts and center-related grant proposals as needed • Keep up with scientific literature relevant to new instrumentation, data processing, specimen preparation and imaging techniques. Must have
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use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for microscopy image analysis are especially relevant. Include a link