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-Chem • You will be contributing to the development of machine learning models used on data from Poleno Jupiters, applying Python and machine learning. • The position will focus on implementing
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. Responsibilities: Conduct research on automated reasoning and proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and optimization. Participate in collaborative research projects
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protocols for the chemical synthesis and electrochemical functionalization of porphyrins, including work under inert atmosphere, as well as separation and purification procedures (chromatography) Acquire and
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| Classification CBA: §48 VwGr. B1 lit. b (postdoc) Limited contract until: Job ID: 6000 Explore and teach at the University of Vienna, where over 7,700 brilliant minds have found a unique balance of freedom and
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manipulation and spectroscopy. Problem-solving abilities, attention to detail, and the capacity to adapt to an evolving work environment. Demonstrated ability to learn new tools and applications quickly and
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, with a strong interest in the integration of geospatial Artificial Intelligence (AI) and machine learning. Are you enthusiastic about the chance to combine research in Remote Sensing and AI with teaching
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analysis of the ATLAS experiment data. The L2IT team plays a driving role within the ATLAS collaboration for the reconstruction of charged particle tracks using geometric deep learning (GDL). The person who
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. Support the preparation of research publications, reports, and presentations. Collaborate with faculty, postdocs, and industry partners on AI and robotics research projects. Assist in the maintenance and
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close collaboration with the industrial partner PhotonFirst and aims to quantify model parameters and their variations as such providing data for the Physic-Informed Machine Learning model.
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expertise and transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in our education, while benefitting them with our talent supply and collaborative research achievements