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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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procedures Knowledge, Skills, & Abilities Good spelling and grammar skills. Good organizational and note-taking skills Strong technology skills, with aptitude for learning new programs Must have good
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equipment; typing, data entry; computer operation; use of computer software and other programs applicable to the assigned department*. Ability to: develop and teach technology related programs; consult with
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. The classes are offered in person and online. This position is expected to be part time. Please review the Master’s Program focus and curriculum at Duke FinTech Master of Engineering. https
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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | 1 day ago
include 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
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, Mechanical), Computer Science, Applied Math/Statistics, Physics—or related. Candidates who will graduate in the near future are also welcome to apply. Strong foundation in machine learning/deep learning and
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qualifications: Master's degree in Biomedical Engineering, Electrical Engineering, Computer Science, or a similar field. Minimum profile: Experience in biomedical signal processing., Knowledge of machine learning
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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, please view https://www.ntu.edu.sg/newri . We are looking for a Project Officer to conduct research on membrane and separation technology for desalination, resource recovery, and decarbonization. Key
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Librarian is part of the STEM team in the Data, Research, and Teaching Services division. The role supports students, faculty, and staff in Computer Science, Electrical and Computer Engineering, Princeton