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good academic publication record Familiar with a few key engineering software such as MATLAB, Python, R-language, and ArcGIS, etc. Good to have knowledge of network analysis, machine learning, neural
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Python. Hands-on experience with: PyTorch Hugging Face Transformers OpenCV Experience working with deep learning models for image or video analysis.
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. Analytical and Computational Skills: Demonstrated ability to analyse complex suspension flows, with proficiency in scientific programming (Python or MATLAB) being highly valued. Research Excellence: A strong
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evaluation Familiarity with soundscape ISO standards Good written and oral communication skills Proficiency in AI (python) programming and R programming Competent in designing subjective experiments and
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. Demonstrated competence of programming languages, such as Matlab, R, or Python, within a GIS environment Ability to publish and communicate effectively to both technical and non-technical audiences Ability
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Python and deep learning frameworks (e.g., PyTorch) Interest in applied, industry-collaborative research Where to apply Website https://www.timeshighereducation.com/unijobs/listing/413018/research-fellow
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background in power systems, energy modelling, or grid optimisation Proficiency in GUI development (e.g. using Python Dash, Tkinter, or web-based frameworks) Experience working with data-driven simulation and
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Learning Video Understanding Multimodal AI Excellent programming skills in Python. Hands-on experience with: PyTorch Hugging Face Transformers OpenCV Experience working with deep learning models for image
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processing, and sensor integration. Strong background in signal processing, computer vision, or machine learning. Proficient in programming languages such as Python, C++, and MATLAB. Strong publication record
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, Artificial Intelligence, Software Engineering, or a related field. Strong programming proficiency in Python and/or C++. Demonstrable experience with machine learning frameworks (e.g., PyTorch, TensorFlow