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. Recognised Researcher position has been opened. The ideal candidate holds a master's-level background in robotics, AI or related fields, with strong Python/C++ skills and experience in machine learning
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workloads including embedding generation, LLM inference, and cognitive search. Develop Snowpark Python transformations, UDFs, and machine-learning features. Implement vectorized storage, model-serving
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, and/or numerical mathematics, as well as an excellent command of a programming language, preferably Python or C/C++. The candidate should have an interest in modeling and solving a complex, coupled
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, but not essential. This project will involve a mix of analytic and numerical work; therefore strong technical skills in both pen-and-paper calculations and coding using either Python or Mathematica
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Ph.D. with demonstrated R&D experience. Development experience with bash scripting and Python, and/or embedded development (C/C++/etc). Knowledge on cellular systems, 3GPP, open RAN. Knowledge of Linux
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. Requirements: Hold a bachelor’s or master’s degree in Computer Science or a related discipline; Possess strong programming skills (e.g., Python, Java, C++, HTML, CSS, JavaScript, MySQL); Have experience with
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learning, deep learning, and statistical inference Experience with frameworks such as TensorFlow, PyTorch or Keras Experience with programming languages such as Python Full command of English (English level
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rheometry of polymer melts Troubleshooting of various polymer processing methods in the context of the circular economy Control engineering and automation; programming in Python, MATLAB, etc.; basic knowledge
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. Strong programming skills in languages like Python or R. Professional experience in the application of Machine Learning algorithms in the mapping and correction of spatial data. Professional experience in
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Learning for Cybersecurity, AI for 3D Imaging, Recommender Systems, Quantum AI, Blockchain AI, AI for Autonomous Systems Foundational courses (for Connect pathway students): Python programming, Mathematical