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wide range of markets such as automotive, industrial and aerospace. At our Cottbus site, we develop intelligent sensor systems for demanding applications in industry, mobility, aerospace and beyond
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Are you inspired by developing the next generation of intelligent photonic chips? Join us to pioneer heterogeneously integrated photonic technologies for ultra-fast, energy-efficient optical
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Regional Programme (Norte 2030) of Portugal 2030”, under the following conditions: 1. Scientific Area: Engineering 2. Admission Requirements: i) Student enrolled in a Doctoral Program in Intelligent Systems
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, develop connectivity analysis techniques for dynamic brain PET data and explore artificial intelligence solutions to improve brain PET quantification. As a PhD candidate, you will contribute
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this project, you will develop innovative image analysis methods to improve image quality and enable advanced quantitative analyses of ^89Zr-immunoPET data, including radiomics and artificial intelligence
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control platforms, advanced microcontrollers, distributed control algorithms, and artificial intelligence techniques, including neural networks and evolutionary optimisation methods, to enable the efficient
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essential, preferably in (1) Robotics for Nano manufacturing; or (2) Intelligent Instrumentation for Biomedical Applications. Those with the capability to initiate collaborative projects with researchers in
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across Europe with 16 doctoral students at the interface of artificial intelligence and mass spectrometry proteomics. In collaboration with researchers at the University of Oxford, we seek a candidate to
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, with a three-month probationary period. The anticipated start date is 1 October 2026, or another date as mutually agreed. Introduction The built environment is becoming increasingly “intelligent” through
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) Item 03: Proven experience in both programming (Python, R, etc.) and the use of data analysis tools, as well as artificial intelligence / machine learning techniques (punctuation: 22.5) Item 04