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., food processing, bioconversion and fermentation processes) Self-supervised learning for multimodal sensor data (e.g., spectroscopy, hyperspectral imaging, 3D point clouds, and other high-dimensional data
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and maintainability. Support project procurement activities (e.g., technical specifications, vendor evaluation, quotations) for robotics hardware, sensors, and compute resources. Contribute
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Mölnlycke Health Care (MHC), a world-leading producer and distributer of wound care products. The aim of the project is to functionalize existing graphene-based field effect transistor sensors with biological
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; applies electrodes and sensors according to accepted published standards. Performs data acquisition while monitoring study-tracing quality to ensure signals are artifact-free. Identifies, corrects and
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using Ansys Polyflow, Ansys Fluent, Moldex3D, or similar tools Design of injection molding and extrusion systems, including tooling Inline, online, and in-situ process sensor technology; rheology and
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(AMR). The successful candidate will join our Advanced Sensors team and contribute to the One Health Environmental Sensing project, which focuses on the development of novel sensors to enhance
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pipes in the subsurface. Innovation opportunities lie in combining physics-based knowledge with AI-assisted data analysis and data fusion techniques. By integrating multiple data sources and sensor
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cutting-edge researches in these areas and nurture future leaders in prosthetics and orthotics, clinical engineering, medical instrumentation and sensors, and biological engineering by imparting
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portable dataloggers (or analogous geophysical sensors) and continuous monitoring workflows. Background in UAS/drone mapping. Numerical modeling skills. Familiarity with coastal water-level/wave datasets and
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and in-line water quality sensors to support CIP practices. UV imaging offers a means to track fouling removal in real time and optimise cleaning performance, while in-line sensors allow post-cleaning