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07.05.2025 Application deadline: 13.06.2025 The University of Tübingen is a leading place for research in artificial intelligence with excellent research infrastructure and the University Hospital
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Post Doctoral Researcher in Human-Centered AI for Software Engineering, Department of Electrical ...
Empirical Software Engineering (EMSE). This position is funded by Innovation Fund Denmark Grand Solutions project “AI4SE1DK – Human-Centered Adoption of Artificial Intelligence for Software Engineering in
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applications* in close collaboration with other discipline experts (software, microelectronics and applications engineers). * except for RF payloads. ** including artificial intelligence and machine learning
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research, addressing the big data and artificial intelligence challenges of our industry partners. Field of subject for the position: Computer Science Placement: Department of Computer Science and Media
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biological systems, also in collaboration with other researchers and companies. Your profile Applicants should hold a PhD in Computer Science, Computer Engineering, Artificial Intelligence, Physics
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records from satellite data, and/or improved methods of uncertainty characterisation, including the use of artificial intelligence and machine learning to improve or analyse satellite climate data records
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://www.rug.nl/research/discrete-technology-production-automation Qualifications You have A Doctoral degree in Biomedical engineering, Artificial Intelligence, or other equivalent degree programs from top
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centralization. Methods may include multiple regression, panel data models, difference-in-differences, and multilevel modeling. The postdoc will take part in the analysis to test hypotheses on how specific
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence