102 postdoc-parallel-computing uni jobs at California Institute of Technology in United States
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-of-the-art algorithms for detecting and classifying safe landing zones using computer vision techniques in order to design and develop custom models for detecting landing zones in real-time based on drone
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provides technical support to the students, postdocs, and external corporate users of the QPG cleanroom user facility, and supervises all maintenance of equipment and infrastructure. Essential Job Duties
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, and managing protocols for the Institutional Review Board (IRB), Institutional Biosafety Committee (IBC), Institutional Animal Care and Use Committee(IACUC), etc. Training staff, postdocs, graduate
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part of the diverse Caltech community. Job Summary This position involves research and evaluation of state-of-the-art algorithms for detecting and classifying safe landing zones using computer vision
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dining halls, serving our entire campus community of undergraduate, graduate, postdoc, faculty, staff, and visitors. We serve over 900 undergraduate students, 7 days a week, on our Meal Plan Program and
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experience interpreting DNA sequence data and protein concentration data. Familiarity with automated liquid handling platforms. Strong computer skills, including familiarity with Excel, formulas, and assay
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strong verbal and written communication skills to effectively interact professionally with research faculty, staff, postdocs, students, and other colleagues. Required Documents Resume. Cover letter
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requirements and detail and document the work that you’ve accomplished. Basic Qualifications Bachelor’s degree or equivalent experience in Computer Science, Computer Engineering, Astronomy, Physics, Math, or a
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program while working closely with CCE faculty and external experts. The Research Scientist will also support post-bootcamp research integration, enabling participants to apply AI/ML methods to active
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Astrophysics High Energy Physics Particle Physics (more...) String Theory and Mathematical Physics Condensed Matter Physics / Condensed Matter Theory Quantum Information Science Compensation: $85,000 Appl