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. Analytical Instrumentation: Expertise in material characterization (XRD, SEM, EDX, UV-Vis spectroscopy) and electronic testing (Source Measure Units). Data Analysis & Design: Skills in Python, MATLAB
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testing (Source Measure Units). Data Analysis & Design: Skills in Python, MATLAB, or LabVIEW for data acquisition, alongside familiarity with optical simulation or CAD software. Required Qualifications
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Python, MATLAB, or LabVIEW for data acquisition, alongside familiarity with optical simulation or CAD software. Required Qualifications Educational Requirements: A Ph.D. in Chemical Engineering, Materials
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Department of Computer Science and the Data Science Institute. Learn more about the lab and its research here: https://nunez-comp-mental-health-cancer-care.github.io/ . RESPONSIBILITIES Reporting to Dr. John
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desirable. Proficient in Python, R, and ML libraries such as PyTorch or TensorFlow. Strong communication and collaboration skills; ability to work independently and as part of a team. Willingness to respect
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for this position is $60,000-$80,000 per annum + benefits. Postdoctoral Research Fellowship Translational Radiation Oncology The Analytics in Medical Sciences (AiMS) Institute https://aims.ok.ubc.ca
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Fellow to join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops interpretable and autonomous artificial intelligence (AI) systems for biological and biomedical research. Our neuroscience
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automation (ie,, Python, PowerShell, etc.) Ability to read and interpret technical documentation, schematics, and configuration guides Strong troubleshooting and diagnostic skills across physical and logical
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join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops explainable, autonomous, and multimodal artificial intelligence (AI) systems to advance biological discovery. Our research integrates
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for users of the Monarch Android pin‑array tablet (https://www.humanware.com/en-usa/monarch ). In this role, you will work closely with Humanware’s ML developers to design and implement an ML toolchain