34 postdoctoral-biomedical-signal-processing PhD positions at Chalmers University of Technology in sweden
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development (using both traditional signal processing and machine learning), antenna design, and system hardware development. We collaborate closely with clinical experts to develop innovative technologies
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for advanced courses, international research visits, and networking across Sweden’s top universities. Information about the research group The Computer Vision Group at the division of Signal processing and
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of Electrical Engineering, which also includes research in communication systems, biomedical engineering, and control systems. The department employs about 200 staff from more than 20 countries and runs about 100
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, and combining the resulting digital stream in a smart way. The circuit design in the transmitter and receiver areas will be complemented by researchers in signal processing to investigate these topics
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This PhD student position offers a unique opportunity for a dedicated, curious, and independent person. You are interested in biological and chemical processes taking place in wastewater treatment
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. The research focuses on the development of the industrial process, from need to finished product while creating added value. To combine skills throughout the whole chain distinguishes the department both
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We are offering an exciting opportunity for a motivated, independent, and curious PhD student. Are you interested in the biological processes within wastewater infrastructure? Do you enjoy both
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. Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files. CV Personal
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the Division for Computer network and systems and the employment is placed with Chalmers University of Technology. Our research spans from theoretical computer science to applied systems development. We provide
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fields: Robotics Computer Science Electrical and Computer Engineering Mechanical Engineering Applied Mathematics Applied Physics Statistics and Optimization A strong background in robotics, machine