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Field
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LevelMaster Degree or equivalent Skills/Qualifications Computer skills are required, primarily advanced proficiency in Python and version control tools (GIT). Knowledge of working with satellite images (GeoTIFF
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technical field; minimum five years of relevant programming, software engineering, machine learning engineering, research engineering, scientific computing, or applied data science experience; strong Python
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data acquisition or experience in programming and modelling (e.g. Python, MATLAB and LabView) or CAD would be an asset. You should have good interpersonal and communication skills and should be able
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. Responsibilities include designing real-time analytics using Python and TensorFlow, reporting research findings, and contributing to collaborative research efforts. The position applies advanced skills developed
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ultrasound sensing and hyperspectral imaging is necessary. Proficiency in Python programming, particularly with Python libraries such as Spectral Python (spectral), NumPy, SciPy, and OpenCV and familiarity
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science/bioinformatics component, or have a relevant degree and demonstrable experience of large-scale IT enterprise solutions. You will be able to demonstrate a working knowledge of R/Python related to data processing
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coding skills in Python with PyTorch, including reinforcement learning, imitation learning, and flow matching/diffusion-based generative models. • Experience designing hierarchical control
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responsibility is to build and validate these offloading strategies, complete with Python application programming interfaces (APIs), through rigorous simulations and proof-of-concept (PoC) trials. This position is
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technologies and/or third-party software as needed. Responsibilities Develop, maintain and enhance current custom legacy software systems, Python / Django, Oracle, and SQL systems used by UHD staff and customers
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for security vulnerabilities and recommend secure design patterns for agentic, multimodal, and RAG applications. Software Engineering: Proficient Python skills with commitment to clean, maintainable code