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and machine learning. Knowledge of the basics of federated learning and causal inference is highly encouraged. Proven track record in research and development of machine learning algorithms. Proficiency
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 5 days ago
source tools (preferably Julia or Python), · advantage: publishing activities, including presentations of results to stakeholders and/or experience with parallel programming and machine learning / AI
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in Python or similar languages Knowledge of machine learning, AI systems, or autonomous agents Experience with scalable software systems and cloud-based development environments Familiarity with
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package, including health and life insurance, generous paid leave and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https
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of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653 . The University of North Georgia, a regional multi-campus institution and premier senior military college
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education and economic development needs. Federally designated as a senior military college, one of the university's signature leadership programs is its 800-member Corps of Cadets on UNG's Dahlonega Campus
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 18-Mar-26 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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of Finance and Economics beginning August 2026. The department seeks an individual with the credentials to teach undergraduate courses in Microeconomics or Macroeconomics, in person or online. A Master’s
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complex IT operations and applying AI and Machine Learning to drive efficiency and innovation; (e) strong understanding of emerging technologies and knowledge of advancements in IT services, with
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure