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technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things, chip design, cybersecurity, human-computer
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Systems) platform https://www.ietr.fr/en/m2ars-manufacturing-measurement-analysis-radiati… , with experience in advanced antenna metrology and prototyping. The PhD student will conduct a literature review
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Project: I TERAPI ARTIFICIAL INTELLIGENCE PREDICTER FOR API Where
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Research Infrastructure? No Offer Description We offer an exciting PhD student position at the Universitat de Barcelona within the PhD in Medicine and Translational Research, hosted by the Artificial
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | about 3 hours ago
institute of AITHYRA, the new Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences in Vienna - www.cemm.oeaw.ac.at . The Research Area In modern society, increased
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Artificial Intelligence (AI) and Machine Learning (ML). In this position students will contribute to research projects in CKL and as part of their education, will also engage in a dedicated 6-months internship
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. Research in the lab is highly multidisciplinary and quantitative, requiring development and use of cutting edge computational modeling and statistical analyses (including machine learning and artificial
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algorithms, mathematics of artificial intelligence, advanced optimization for decision making, matrix and tensor algebra, and the intersection of these areas. Close interaction with permanent research
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computational biology to leverage state-of-the-art artificial intelligence to design and implement or use generative models targeting RNA, DNA, and cellular systems, to enable novel insights into biology and
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-to-date taxonomic expertise and exposure to innovative and automated image processing and morphometric techniques, as well as fossil identification involving Artificial Intelligence. A pilot study will be