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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
. Duties/Responsibilities Analysis (50%) Develop machine learning algorithms to analyze ground magnetic field perturbations Analyze the results using machine learning interpretability techniques
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and distributes supplies. Demonstrates work routines or procedures to less experienced staff as designated. Carries out any other related duties as required in keeping with the qualifications and
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developing image analysis and machine learning algorithms and tools for aerial imaging and analysis. You will also contribute to data collection, data curation, and the development of a data portal for project
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engine. Algorithm Development: Contribute to designing, prototyping, and testing algorithmic models for personalized content recommendations. System Evaluation: Support the evaluation of the recommendation
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learning algorithm to analyze how experimental parameters ( 3D printing and electrospinning) affect the design. At least 3 semesters of FIU work experience or related experience outside the University with
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, qualifications, and experience. Dr. Sebastian Calonico in the Graduate School of Management at the University of California, Davis, wishes to employ a 100%-time Postdoc who will contribute to several projects
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for fulfilling its teaching, research, and clinical missions. DoM employees approximately 600 salaried faculty, nearly 300 academic appointees, and more than 300 residents, fellows, and postdocs, supported by
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day ago
distribution of awards. Implementing plans for awards programs and related objectives. Planning and overseeing short and long range activities that support financial administration. Producing complex statistical
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to December 5, 2025 (PhD program) Comply with UTokyo-Graduate schools eligibility criteria (for eg; TOEFL Test, Application process etc) for Postdoc position ASAP. Request contact us by June. How to Apply
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for engineering-driven AI innovation. Ideal candidates will have: (1) A PhD in Management Science and Engineering, Computer Science, or a related discipline, with a focus on AI/ML theory, algorithms