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language processing, algorithmic learning, fault-tolerance, blockchains, consensus, cryptocurrencies, digital money, central bank digital currency, decentralized finance, financial networks, e-democracy, voting, social
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responsibilities may include: Development or analysis of novel Machine Learning algorithms for engineering design applications, such as Inverse Design, Surrogate Modeling, or generative modeling. Collaborating with
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seismology, geothermal energy, and geobiology. Access to cutting-edge tools, algorithms, and high-quality seismic datasets. Competitive salary and benefits, including academic development and training
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postdoctoral researcher, your responsibilities may include: Development or analysis of novel Machine Learning algorithms for engineering design applications, such as Inverse Design, Surrogate Modeling
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resettlement. The position is part of an innovative project using machine learning and matching algorithms to improve the resettlement process for refugees and asylum seekers. We are developing GeoMatch , a
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-driven methods to include prior information about the underlying system Addressing process specific nonlinearities and system-theoretic properties to develop novel control and machine learning algorithms
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programme Reference Number 5504-00 Is the Job related to staff position within a Research Infrastructure? No Offer Description Your tasks Develop advanced constitutive models for chemo-mechanical coupling in
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underlying system Addressing process specific nonlinearities and system-theoretic properties to develop novel control and machine learning algorithms for edge computing Active collaboration with our industrial
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support systems in rehabilitation in many health conditions. This position is open for a postdoctoral researcher in the field of generative design for exoskeletons and orthosis. Focused on developing a
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generation of enhancement algorithms tailored for endoscopic videos, with a focus on applications in real-time interventions. Development efforts will prioritize both enhancement quality and computational