78 linked-data Postdoctoral research jobs at Technical University of Denmark in Denmark
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and proposal preparation. Required qualifications: As a formal qualification, you must hold a PhD degree (or equivalent) in computer science, computer engineering, networking, or related fields relevant
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information Requests for further information about the project should be directed to Professor Sophie Beeren, sopbee@kemi.dtu.dk . You can read more about DTU Chemistry at www.kemi.dtu.dk/english Information
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shared with about 400 highly skilled and motivated colleagues, with interdisciplinary backgrounds from meteorology, electrical and control engineering and data science all the way to humanities
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extraction) that can be miniaturized and integrated into portable devices. Perform SERS measurements and data analysis of SERS data (e.g., using machine learning). Develop, test and apply new fiber-based SERS
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to mutual agreement). The position is a full-time position. You can read more about career paths at DTU here . Further information Further information may be obtained from the PI, Emmanouil Vasilomanolakis
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agreed upon with the relevant union. The period of employment is 2 years. You can read more about career paths at DTU here . Further information Further information may be obtained from Prof. Paul Pop
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1 September 2025 or as soon as possible thereafter. The position is a full time position. You can read more about career paths at DTU here . Further information Further information may be obtained
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. The allowance will be agreed upon with the relevant union. The period of employment is 2 years. You can read more about career paths at DTU here . Further information Further information may be obtained from
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. Further information Further information may be obtained from Samuel Brüning Larsen (sbla@dtu.dk ) or Rodrigo Salvador (rodsa@dtu.dk ). You can read more about DTU Engineering Technology at engtech.dtu.dk
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..) Digital Twin & Digital Transformation Development & Deployment of Digital Twins for smart cities, or data infrastructure. IoT-based Data Sources, Big Data Pipelines, & Real-time Analytics. Federated Systems