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Field
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the areas of ‘Process Sensors and Systems Engineering’, ‘Material Analytics’ and ‘Computational Methods’. With our expertise in data science, modelling and systems engineering, we develop tailor-made
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and refrigeration equipment. Monitors, maintains, and repairs building automation and control systems (sensors, controls, thermostats, actuators, etc.). Maintains and repairs building systems
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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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career position in compliance with § 99 (5) UG (tenure-track) in the field of Landscape Construction
Profound knowledge of lab technologies, geotechnical and hydrological testing procedures Experience in analytical research, lab and field test setups, sensor-based monitoring, use of simulation and modelling
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Sciences. This growing department takes an interdisciplinary approach to health, from providing healthcare services to designing and developing devices and sensors to capture human movement for feedback
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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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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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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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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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), 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