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manipulation detection. Another focus is the development of algorithms for the areas of virtual product development, intelligent actuator-sensor systems and audio for the automotive sector. There are currently
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test is performed. Explains the sleep study procedures to patients. Prepares and calibrates equipment required for testing and adjusts as necessary. Applies electrodes and sensors, according to accepted
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are encouraged to apply: Wearable & Ambient Sensors: Continuous physiological and behavioral monitoring; fall detection and prediction; dementia care and wandering prevention; activity tracking for chronic disease
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-specific data structures (e.g., linked lists, dictionaries, classes and objects). Ability to leverage standard algorithms and patterns when writing code. Ability to write good test cases and automated unit
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servohydraulic controller; Advanced networked data acquisition system with 116 input channels and integrated signal conditioning; Wide range of structural sensors (displacement, strain, and force) Material
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for the treatment, structuring, and refinement of surfaces as well as for sensors and optical filters. The working group "Stationary Precision Coating" within Plasma Technology focuses on developing plasma-based
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advanced planning and control algorithms, real-time and energy-efficient sensing, and distributed perception. Its research is applied across diverse sectors, including agriculture, manufacturing and remote
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Collaborate with students to translate research algorithms into working implementations. Lab Operations & Equipment Management (20%) Maintain and manage lab equipment inventory, including drones, sensors, 3D
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representations of these processes. NVIDIA Isaac Sim and other simulation engines like MuJoCo enables high-fidelity physics simulation, sensor emulation for accurately simulating these assembly processes
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consensus. The successful candidate will develop the algorithmic foundations of this framework—making the motion-generation stack modular and heterogeneous (combining model-based control with learning-based