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). - Apply image processing, segmentation, and normalization techniques using Python-based libraries. - Ensure pipelines are reproducible and version-controlled to meet analytic standards. Feature Extraction
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components. To develop this program in oxide electronics, a successful applicant will have a solid background in programming (Matlab, Python, or equivalent). Experience with any of the following lock
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completion of CSC 379 or other relevant course (Algorithm and Complexity Analysis) Desired Qualifications* Experience with Colab, Python and LLMs. Modes of Work Hybrid The work requirements allow both onsite
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reasoning and robotics C/C++ programming and knowledge Python programming
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open-source software packages and set up computational pipelines. As a bio-informatics research lab, we publish software packages in Python and R for specific, cutting-edge analysis of large-scale
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static and dynamic analysis methods. Proficiency in programming languages such as Python, C/C++, and Java. Familiarity with software debugging, vulnerability analysis, and program comprehension techniques
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and AI frameworks (e.g., Python, TensorFlow, PyTorch); (e) practical knowledge and skills in Linux and Windows Server management, including Virtual Machine (VM) and Docker container architectures; (f
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following areas: • Consumer electronic products, IoT, or AIoT products. • Healthcare or biomedical devices or instruments. • Technical tutorials or training. • Python applications. • AI edge
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interpersonal skills. Preference will be given to those with knowledge of ReactJS, Express/Node and Python. Applicants with less experience may be considered for the post of Assistant Technical Officer
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sorting, calcium imaging, long-term tracking). • Experience with behavioral tracking and multimodal dataset integration. • Proficiency in Python, MATLAB, scientific computing, and pipeline development