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Field
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/EPIC screenings of patients, assisting the research team when consenting patients and patient interviews and data collection, completing case report forms, and scheduling patient visits. Clinical
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, 2025 Weekly Hours: 20 hours per week (flexible scheduling) Compensation: $20 per hour Location: Flexible (in-person at University Park, remote, or hybrid arrangement) The research assistant will be
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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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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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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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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
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systems from QC attacks, and accelerate the adoption of quantum-enhanced cybersecurity, AI, optimisation and simulation algorithms across Australian industries – aligning with the Digital Economy 2030
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anti-racist education Data collection and management. Assist with participant recruitment, schedule interviews, and maintain consent records. Conduct or co-facilitate interviews (as appropriate) and
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schedule, training and supervising new volunteer research assistants, screening, recruitment, scheduling, and retention of research participants, following up with participants regarding follow-up study
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Internal Number: 118314-en_US The Department of Epidemiology is seeking a Research Program Assistant II (RPAII). This position will be responsible for overseeing recruitment, scheduling, and field site