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Field
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to surveillance of infectious pathogens using computer science and mathematics? Join the Delft Bioinformatics Lab and work on graph-based algorithms for microbial genomics! Job description Bacterial and viral
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settings. Develop and test algorithms for object detection, tracking, and classification using LiDAR sensors. Help guide and mentor graduate students and other junior team members working on the project
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including clinical, algorithm, and mechanical engineering to define system requirements, sensor specifications, and patient interaction protocols. • Develop custom control and data processing software in
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Requisition Id 15490 Overview: The Multimodal Sensor Analytics group in the Electrification and Energy Infrastructure Division (EEID) is seeking a postdoctoral researcher with proven expertise in
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evaluation of algorithms for: perception in robotics; sensor based control and navigation ; interactive mobile manipulation; multi-sensor data modelling and fusion. This job offer takes place within
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a set of suitable EGG sensors, thereby enabling an electrogastrogram. This device will be created by SYMME in collaboration with the expertise of LIP/PC2S. Objective 2: Once the device has been
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interact with the world around us. However, the power requirements and carbon emissions of AI are equally dramatic: training a single state of the art algorithm has the same carbon footprint as the lifecycle
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management practices at large scales. Experience applying data assimilation and using observations from in-situ sensors or satellite products (e.g., gross primary productivity, leaf area index, yield, GHGs
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to pioneering research in the field of robotics. Key Responsibilities: Design, implement, and test robust software for robot localization, mapping, and navigation. Develop and refine algorithms for sensor fusion
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sensors, actuators, control algorithms, and embedded systems. Guide the development and deployment of digital twins for real-world processes and infrastructures (e.g., factories, greenhouses, robotics