Our institute invites applications for grants aimed at postdoctoral scientists who wish to lead an independent project within the institute, collaborating with a Norwegian partner.
read moreThe Romanian Institute of Science and Technology offers a research associate position focusing on applied research on machine learning systems that are trained on large repositories of web pages and learn to generate HTML / CSS or similar code.
read moreMultiple positions of research associates and research software developers / research assistants are currently open in our institute in the field of machine learning / deep learning.
read moreOur institute invites applications for grants aimed at scientists having a PhD who wish to lead an independent project of applied research and development within the institute.
read moreThe Romanian Institute of Science and Technology invites applications for grants aimed at young postdoctoral scientists who wish to lead an independent project within the institute, applying machine learning to the field where the postdoctoral scientist has expertise.
read moreThe Romanian Institute of Science and Technology welcomes Marie Skłodowska-Curie Individual Fellowship applications.
read moreOur institute welcomes as interns students in economics, business, business information systems and related fields.
read moreOur institute welcomes as interns students in computer science, mathematics, physics, engineering and economics.
read moreOur institute supported, as partner, the first edition of the Transylvanian Machine Learning Summer School (TMLSS), which took place in Cluj, Transylvania, Romania in July 16-22, 2018. The focus of school was on Deep Learning and Reinforcement Learning. The school was organized by machine learning researchers from DeepMind (Răzvan Pașcanu, Viorica Pătrăucean), Romanian Institute of Science and Technology (Luigi Malagò, Răzvan Florian), and McGill University & DeepMind (Doina Precup).
read moreThe Loihi chip implements in hardware “synaptic eligibility traces”, components of a learning rule developed by RIST’s Răzvan Florian, which allow the implementation of this learning rule on the chip.
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