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particular focus on applications relevant to the Arab world. The successful applicant will join a multidisciplinary research team working at the intersection of machine learning, algorithmic fairness, human
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networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis
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: January 19, 2026 (for full consideration) Apply online at AJO: https://academicjobsonline.org/ajo/jobs/31255 The Center for Data Science for Enterprise & Society at Cornell University seeks to recruit
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and resilience across heterogeneous computational resources while addressing workflow requirements for scientific applications. Validate distributed intelligence algorithms at scale on ORNL's
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Government of Canada | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | about 1 month ago
and proceedings, presentations at top conferences, and widely recognized contributions to software projects. • Designing, implementing and testing new algorithms or applications in one or more
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are filled. An earned doctorate is required by the start of the appointment, and a background check must be completed prior to beginning employment. Application materials should be submitted to http
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. Application materials should be submitted to https://www.mathjobs.org/ . The Georgia Tech official website for applications is https://hr.gatech.edu/careers . Some candidates who do not apply there at first
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the project’s deliverables. 2. To perform internationally competitive research in the analysis of transcriptomic and epigenetic data. 3. To provide analytical and statistical expertise, and algorithms for data
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on methods to improve understanding of how machine learning algorithms work. Workplan: Literature review Design of an approach for the selected problem Empirical evaluation of the proposed approach Writing
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, under the scope of a term contract, with a termination date undetermined, overseen by Portuguese Labour Code. Job description: Contribution in WP3 Task 3.3 aiming to define compressed sensing algorithm