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Intelligence in Mechanics and Manufacturing (AIMM) at ETH Zurich, is offering a position in the field of data-driven optimization. Project background Our research focuses on the development and application
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to ingest data from various systems (e.g., SAP, APIs, databases) Ensure data quality, consistency, and lineage across all stages of the data lifecycle Optimize pipeline performance and resource usage in line
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the industry to lead and/or conduct innovative research on, but not limited to evolutionary computing, job scheduling, transfer optimization, transfer learning, reinforcement learning, large-scale
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still hampered by: Ability to detect areas along the intertidal for optimal restoration3. Knowledge on how positive species interactions can be harnessed for rapid restoration4. Availability of devices
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members of the care team to solve current situations and to facilitate optimal outcomes over time. Position Requirements: EDUCATION AND EXPERIENCE: Graduate of a school of Nursing program approved and
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 16 hours ago
tailored to each patient's age and needs, ensuring continuity of care and optimal health outcomes; will direct patient care, actively engage in health education, preventive counseling, and community outreach
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employed in the project. Our expectations of you The candidate should have a deep technical insight and experience in high performance computing, programming and structural optimization. The candidate must
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and units within the university. Its primary goal is to streamline and optimize processes, enhance operational efficiency, and deliver high-quality services to support NTU's core mission of education
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, including traffic prediction, optimization, and safety enhancements. Key Responsibilities: Develop and implement machine learning models for air traffic prediction, flow management, and conflict detection
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that space management decisions are inclusive and transparent, supporting the university's strategic goals. By creating a solution-oriented program, the University Space Official bridges aggregate