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Field
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Processing and Machine Learning to develop signal processing and machine learning algorithms and methods for communication networks. Key Responsibilities: Develop signal processing and machine learning
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the current titers through process parameter optimisation and develop a multi sensor flask system to accelerate scale-up data collection . You will focus on the development of continuous fermentation and
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diagnosis and treatment of sleep disorders. This includes preparing and calibrating equipment, placing sensors, performing bio-calibrations, monitoring patients during testing, and ensuring safety throughout
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Health Monitoring (SHM), Structural Dynamics, Sensor Integration and Processing, Internet of Things (IoT), Machine Learning (ML), Predictive Maintenance This is a 30-month Knowledge Transfer Partnership
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), sensors, and system integration. Additionally, you will work on short-term demonstrators developed in collaboration with our industrial partners, which provide extensive learning opportunities across
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outstanding candidates whose work lies at the intersection of statistics, machine learning, data analytics and modern AI algorithms. This includes, in particular, statistics for high-dimensional and complex
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machine learning and computer vision algorithms • Build tools for photogrammetric 3D reconstruction and defect detection • Evaluate and refine AI models using annotated data and real-world image datasets
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comparison of predictive algorithms—such as Random Forest and LSTM neural networks—for use in genetic material recommendation systems. Working as part of Camcore’s data science team, the selected candidate
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million, 5-year NSF EPScOR grant entitled SMART FireS (Sensors, Machine learning, and Artificial intelligence in Real Time Fire Science). Duties and Responsibilities Develop a nationally recognized
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initiatives Cutting-edge research in: AI-driven medical imaging & data analytics Smart healthcare for aging populations Biomedical sensors & intelligent diagnostics Ion channel-targeted drug development Impact