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account may cause delays in a hire process. Department: School of International Service Time Type: Part time FLSA Status: Non-Exempt Job Description: Summary: The Office of Career Development in the School
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Type of award Scholarship Managing department School of Environment, Education and Development Value Tuition fees An annual maintenance stipend (£19,237 per annum for 2024/25) Specified use +3.5
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 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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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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coordinator for all lab organizations, clinical data management, research website maintenance, clinical coordination in experiments, group meeting minutes organization Aiding in developing an AI machine
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, and to bring together China and the West. The Department of Mathematics in CUHK has developed a strong reputation in teaching and research. Many of the faculty members are internationally renowned and
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Association in Canada’s (UNA-Canada) International Development & Diplomacy Internship Programme (IDDIP) to university graduates from many disciplines including: international affairs (relations), peacekeeping
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available in the further tabs (e.g. “Application requirements”). Objective The aim of this programme is to enable former scholarship holders of the “Development-Related Postgraduate Courses (EPOS)” to carry
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collection, and data analysis. Work activities may include the following. • Developing analysis tools to extract physical meaning from in-situ process data. • Developing machine learning algorithms to drive