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development fund of the department, IT Academy and a recently started project “Smarter use of data via machine learning” and has close ties to the Estonian Centre of Excellence in Artificial Intelligence (EXAI
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) data. We also analyse macaque electrophysiology data obtained through collaborations. We use machine learning techniques for data analysis and computational modelling with a special interest in
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(lola.adedokun@uky.edu). More information on benefits can be found here: https://postdoc.uky.edu/current-postdocs/ Skills / Knowledge / Abilities The candidate should have excellent written and oral
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Profile: A Master`s degree and an excellent PhD degree in Biochemistry, Chemistry, or a related Molecular Science Proven Track Record in Machine Learning, Molecular Simulations, Chemoinformatics
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Development effective at the earliest possible date: W1 Professorship in Machine Learning in Agricultural and Food Economics (f/m/d) The professorship will initially be awarded with civil servant status for a
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Toggle navigation Your VUSM Current Students Postdocs Residents Basic Sciences Faculty Affairs Clinical Faculty Affairs Alumni Patients A-Z Directory VUSM Catalog School of Medicine Vanderbilt
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ESSENCE: Efficient Self-Supervised Machine Learning for Adaptive Wireless Communication Systems This project investigates self-supervised learning (SSL) for wireless communication systems to improve
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
; preparing and monitoring operating, fellowship, gift, industrial, MicroMasters, DataScience-Machine Learning, and project/research budgets, including annual entry into Nimbus for IDSS/TPP; serving as the
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connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2025/postdoc-or-phd
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of extensive datasets. You will be supervised researchers who collectively offer expertise in computational biology, genetics, epidemiology, and machine learning. The research will be closely linked