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President for Strategic Partnerships US-NY-New York Job ID: 2025-15179 Type: Office of the Executive Vice President for Global Science and Technology (WS3488) # of Openings: 1 Category: Business/Professional
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of technology, and want to be part of a unique and diverse community that works on high-impact research, educational, business, and societal problems. Position Summary The Data Science and Machine Learning
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, instructional technology, computer labs, or testing/proctoring services. · Experience with a Learning Management System (Blackboard) and Workday. · Working knowledge of instructional technologies, computer
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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systems (#11), databases (#30), computer architecture (#48), embedded & real-time systems (#54), AI, machine learning & data mining (#65), software engineering (#71), mobile computing (#18), and computer
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such as VASP, Quantum ESPRESSO, LAMMPS, GROMACS. • Machine-learned interatomic potentials. • Structure-property prediction using GNNs. • LLM fine-tuning and prompt engineering (e.g., HuggingFace, OpenAI
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About Farmingdale State College: Farmingdale State College is a recognized leader in applied learning. With over 10,000 students, FSC is the State University of New York's largest college
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& instructional materials for different learning styles * incorporating, as pedagogically appropriate, current technology in classroom, distance learning and laboratory environments * creating and modeling a
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an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology Machine Learning, AI Safety, AI Alignment, Eval of LLMs, Multi-agent Safety
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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | 12 days ago
creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools for semantic search, interpretation