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regulation in hemodialysis patients using biosignals such as electrocardiogram and photoplethysmogram. Acid–base disturbances are closely linked to cardiorespiratory function, autonomic control, and peripheral
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faculty member to contribute to teaching and applied research in Robotics and Autonomous Systems. This position focuses on the intersection of electrical engineering, computing, and intelligent systems
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simulation model for autonomous shipping in restricted waterways. This position offers unique opportunities for collaboration within the Marine Technology Division at Chalmers University of Technology
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consortium also includes industrial and clinical partners. This particular PhD project aims to develop the in-vitro vasculature-on-chip models, microfluidic chips in which controllable and physiologically
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motivated post-doctoral associate with a strong background in control systems and machine learning to join the research team of Prof. M. Umar B. Niazi. The position focuses on the development of digital twins
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postdoc you will develop innovative microfluidic habitats that generate precisely controlled oxygen and nutrient dynamics for high-throughput microbial invasion assays and live-cell imaging. Working
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of the future, striving to improve healthcare and society as a whole. Where to apply Website https://www.academictransfer.com/en/jobs/356668/phd-in-machine-learning-for-dru… Requirements Specific Requirements
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the Department of Mathematics & Statistics (https://www.reading.ac.uk/maths-and-stats/ ) About the project/work tasks: This position is part of: 19 PhD Fellowships available in Digital Endocrinology in the Marie
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Assemble materials into hydrogels, thin films, fibers, and aerogels; control architecture via shear alignment, directional freezing/ice-templating, 3D printing, molding, and lamination. Tune porosity, water