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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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if there are special grounds, for example, different types of statutory leave of absence. Applicants who are close to finishing a PhD are also encouraged to apply. Further information The position is fully funded by
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following position Postdoctoral researcher (m/f/d) in Environmental Data Science and Machine Learning for the project BoTiKI Location: Görlitz Employment scope: full-time (40 weekly working hours) / part
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our understanding of mental disorders by applying novel analytical tools to differences in genotypes and environment to predict disease trajectories. The project is part of a Nordic initiative in large
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optimize and ex-ante evaluate different components of an architecture for improving global public good provision that is sketched here . The architecture consists of two components, tax clubs and reward
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completion) in AI, Machine Learning, Data Science, Control or Energy Systems Engineering, or a related field. Strong expertise in AI for real-time systems, predictive analytics, or Digital Twins. Experience
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mechanistic information on human brain changes in pain conditions. Your research will help us understand the mechanisms involved when pain becomes chronic. Work in a team using electroencephalography (EEG
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, driving speed, and behaviours of road users. This project aims at studying different data sources such as TPMS data, high-speed wheel encoders, CAN data, accelerometer data, and acoustics data. In
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particular boron isotopes, and potentially K isotopes. Recently, the analytical and conceptual development of so-called non-traditional stable isotopes opened up a new avenue for the study of nutrient cycling