39 master-"https:" "https:" "https:" "https:" "CNRS " positions at KTH Royal Institute of Technology
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if the original documents have not been issued in any of these languages. Your complete application must be received by KTH no later than the last day of application, midnight CET/CEST (Central European Time
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degree in machine learning. The successful candidate will be supervised by professor Aristides Gionis (https://www.kth.se/profile/argioni/ ). The research team focuses on developing novel methods
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learning, representation learning, and fair, accountable, and transparent machine learning. Applicants must hold a Master of Science degree by the time of enrollment. Successful candidates should be highly
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addition to the research, the applicant is expected to participate in the supervision of master's and PhD students. Qualifications Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement
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risk factors. The main objective is to design and apply machine learning and deep learning methods to understand and investigate the functional behavior of gender-specific cancers. The work will include
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of the following: passed a second cycle degree (for example a master's degree), or completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits
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master's degree), or completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or acquired, in some other way within or outside
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. Translations into English or Swedish if the original documents have not been issued in any of these languages. Brief account of why you want to conduct research, your academic interests and how they relate
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. Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence. Join us at KTH KTH shapes the future through education