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surgery. This PhD position will focus on the health monitoring system development mainly based on multimodal physiological signals, for instance, inertial measurement unit (IMU), electrocardiography (ECG
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contactless movement and physiology signals. Specifically, the PhD researcher will develop physiological-model-based artificial intelligence technologies to assess patients’ recovery process, detect or even
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, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
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climate economy in Australia (Dr Svenja Keele ) Communicating Data to Advance Community and Ecological Wellbeing (Prof. Libby Lester ) Making Futures Together: Designing and Testing Creative Methods
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date at the same appointing Selection process Application procedure: Send your CV (pdf format), list of grades, certificates, list of 3 referees and motivation letter to: Prof. George Weiss gweiss
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immediately before their appointment. The researcher cannot already be in possession of a doctoral degree. Desirable skills: expertise in signal processing, electrophysiology (especially EEG or MEG), language
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our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the candidates will be made by Prof. Niels
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this position can be directed to Prof. Dr. Lisette de Senerpont Domis, Department of Aquatic Ecology (NIOO-KNAW). Application procedure For the application, please provide a curriculum vitae and cover letter
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available for a four-year term as part of the recently awarded ELSA Lab for Technical Industry (ELSA4TI) (funded within the NGF-Call AiNed ELSA Labs). The ELSA4TI Lab is led by Prof Ming Cao, Director of
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Chemie und Biochemie Herrn Prof. Dr. Siegfried Eigler Altensteinstr. 23 a 14195 Berlin (Dahlem) With an electronic application, you acknowledge that FU Berlin saves and processes your data. FU Berlin