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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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advantageous. Proficiency in algorithm development using Python will be advantageous Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405545/research-fellow-ai-… Requirements
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desirable: Hands-on experience in electronics/electrical. Programming of Microcontrollers and embedded systems. Working knowledge of programming languages such ROS/ROS2, Python, C/C++ Programming, Knowledge
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PyTorch or TensorFlow. Experience with ROS or ROS2 for real robot software integration. Proficient in Python and C++, with experience in writing production-level code. At least 2 years of experience in
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Python programming and relevant libraries (e.g., OpenCV, NumPy, scikit-learn, Pandas, Matplotlib) Experience with dataset preparation, model training, and performance evaluation Candidates with strong
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multilingual or speech impairment contexts. Programming Skills Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. Experience with web development (e.g., FastAPI, Flask
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proficiency in Python and AI frameworks (TensorFlow, PyTorch, Keras) Strong programming skills in Python/Java/Javascript. Knowledge in LLM, RAG, LangChain would be advantageous. Knowledge of cloud computing and
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tools such as SPM, FSL, AFNI, and/or DSIStudio etc will be an advantage. Signal processing and programming skills (e.g. with Matlab, Python) will be an advantage. Ability to use statistical packages
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Proficiency in programming languages (e.g., Python and C++), and familiarity with AI frameworks (e.g., PyTorch). Self-directed learner who believes in continuous learning and development. Proficient in
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Skills Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. Experience with web development (e.g., FastAPI, Flask, or React) is a plus. Data Handling Familiarity with