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performs a broad spectrum of research and development activities, including signal/image/information processing, autonomous system development, sensor development and testing, and software development and
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Would you like to develop (materials for) hydrogen sensors that can the quantify the hydrogen
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Brno University of Technology, Central European Institute of Technology | Czech | about 2 months ago
the CEITEC Brno University of Technology is opening a position of a Postdoctoral Research Fellow: “Chemist / Materials Scientist for Development of Biosensors or Sensors based on Single Atom Engineering
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://inet.media.kyoto-u.ac.jp/ [Work content and job description] (1) Research on information networks or information security (e.g., network architecture, sensor networks, network management, virtualization technology
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for someone to start as soon as possible. The successful candidate will work closely with industry and academic partners within the CoSTAR Network. This position offers the opportunity to contribute to cutting
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., camera traps, thermal imaging, acoustic sensors) Practical skills in programming and analysis of large datasets Publication record in relevant areas Ability to communicate effectively in English, both
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sciences increases with new mobile and stationary sensors and observation platforms becoming available, the need for processing these large data streams also increases. Such datasets provide exciting new
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). The position is dedicated to the ESA-funded Rover Permittivity Sensor. The expected starting date is February 2025, with an initial contract limited to 2 years and a possible extension. About us: We are strongly
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(ENDOTRAIN). Join Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical medicine to transform diagnosis and treatment of adrenal diseases. Digital
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Skłodowska-Curie Doctoral Network (ENDOTRAIN). Join Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical medicine to transform diagnosis and