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evaluation and analysis. Ability to independently operate lab instruments (e.g., oscilloscopes, lasers) for security testing and data analysis. Proficiency with tools such as Python, MATLAB, or C
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-modal datasets (e.g., biological, imaging, environmental, or clinical data). Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with machine learning frameworks (e.g
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, virtualization (Docker/Kubernetes), and scripting (Python, Bash). Strong programming skills in Python or C++. Excellent analytical, technical, and problem-solving skills. Strong communication skills and technical
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processing skills (e.g. C++, LabVIEW, Zemax, OSLO, TracePro, MATLAB, Python, ImageJ) Proven publication track record would be an advantage We regret that only shortlisted candidates will be notified. Hiring
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optimization. Practical experience with industrial or collaborative robotic arms (e.g., UR, KUKA, ABB). Proficiency in programming languages such as Python, C++, and ROS. Experience working on interdisciplinary
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terms of publications Proficiency in scientific computation in C/C++ and Matlab/Python or similar languages Good communication and writing skills The College of Science seeks a diverse and inclusive
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science, GIS, computer science or other relevant disciplines • Good background knowledge and overall interest in design technology • Proficient in statistical and programming skills, like Python
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programming skills (e.g., Python, Julia, Fortran, C++, MATLAB) and experience with high-performance computing environments Demonstrated publication record in reputable peer-reviewed journals Excellent written
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models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly
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communication skills and fluency in English are required. Ideal candidate will be adept at planning, prioritizing, multi-tasking, organizing, following through, and thinking on his/her feet. Knowledge of Python