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at the Division of Statistics and Machine Learning (STIMA) within the Department of Computer and Information Science . At STIMA we conduct research and education in both statistics and machine learning
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. Your profile You have documented expertise in marine ecology and computer vision and machine learning methods for video-based fish monitoring. You have excellent IT skills and experience in handling
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issues in federated and decentralized learning systems. The aim is to develop novel methods for securing communication against passive and active adversaries, leveraging tools from statistical estimation
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the position and why you are especially qualified for it. Your workplace You will be employed in the Reasoning and Learning Lab (ReaL), Division of Artificial Intelligence and Integrated Computer Systems (AIICS
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and/or computer programming. Cloud physicsIt will be advantageous if the applicant is experienced with modeling of either clouds or climate. In the application, applicants should provide evidence of how
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-equipped laboratory facilities for research and an excellent inter-disciplinary academic network in Sweden and abroad. Subject description Machine learning focuses on computational methods by which computer
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maturity and have programming skills. Applicants are expected to have very good English skills, orally and in writing. Your workplace The Department of Computer and Information Science was founded in 1983
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their university education in: Mathematics, especially differential equations. Numerical methods and/or computer programming. Cloud physicsIt will be advantageous if the applicant is experienced with modeling
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, based at the Department of Computer and Information Science. These positions are funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). Wallenberg AI, Autonomous Systems and Software
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) within the Department of Computer and Information Science . At STIMA we conduct research and education in both statistics and machine learning, at the undergraduate, advanced and PhD levels. We regularly