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Field
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, including flexible scheduling. Please visit our websites for more information about our terms of employment: https://www.cwi.nl/jobs/terms-of-employment and https://www.nwo-i.nl/en/working-at-nwo-i
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: graph neural networks, natural language processing, algorithmic learning, fault-tolerance, blockchains, consensus, cryptocurrencies, digital money, central bank digital currency, decentralized finance
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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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Scheduled Hours 40 Position Summary Provides critically complex research and experimentation for department/s allowing the advancement of scientific analysis and discovery. Serves as a subject
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, strings, pointer-based data structures and searching and sorting algorithms. The laboratories reinforce the lecture topics and develops essential programming skills. Estimated course enrolment: ~150
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or labs, following approved scheduling algorithms. Training Assist the Service Access Manager(s) and Team Lead(s) with training new staff during the initial onboarding phase as needed. Provide insight
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
Temporary Staff (SHRA) Position Title Research Specialist Position Number 20062989 Vacancy ID S025362 Full-time/Part-time Full-Time Temporary Hours per week 40 Work Schedule Position Location North Carolina
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
Temporary Staff (SHRA) Position Title Research Technician Position Number 20063090 Vacancy ID S025361 Full-time/Part-time Full-Time Temporary Hours per week 40 Work Schedule Position Location North Carolina
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Schedule: Summary The Zoghbi lab is seeking a postdoctoral research fellow to lead projects at the forefront of neuropsychiatric genomics, transcriptomics, and proteomics. The Zoghbi lab is leading several
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working in the exciting and dynamic fields of deep learning and medical imaging. The main focus will be to develop novel deep learning algorithms to analyze medical imaging data (e.g., ophthalmology