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frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems
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no.: 6225 Explore and teach at the University of Vienna, where over 7,700 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking international
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research. Teaching may also be included, but up to no more than 20% of working hours. The position shall include the opportunity for three weeks of training in higher education teaching and learning
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. Tensor network methods (e.g. MPS, PEPS). Theory of superconductivity, ferroelectricity or other correlated electronic phases of matter. A high proficiency in spoken and written English. Excellent
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equivalent foreign degree, obtained within the last three years prior to the application deadline Experience with simulation frameworks, system-level performance evaluation, or machine learning, is highly
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-VIS-NIR). Experience in hyperspectral data processing (HMSPL, μXRF, μXAS) and statistical analysis (clustering, machine learning) is preferred. Familiarity with fossilization processes and taphonomic
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
the international focus of the degree programmes, the chosen applicant will be expected to teach in English as well as Danish. Qualifications Applicants must have a PhD degree or must document equivalent
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to acquire, download, manage, and synthesise large geospatial datasets from diverse sources. Proven ability to publish at a high international level. Excellent written and oral communication skills in English
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of Prof. Georg Madsen, with regular shorter research stays at Aarhus University. The project combines density functional theory (DFT), machine-learned force fields and atomistic simulations to uncover how
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missions operated by LATMOS. The postdoc will employ deep learning approaches using satellite data and ground stations. -Understanding the infrared data from the IASI mission and identifying the channels