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of AI systems by a factor of 10,000 compared to conventional software solutions. In this context, the MARMOTTE project (Mott based nano-memristors networks for ultra-low-power neuromorphic computing) aims
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Application Deadline 21 Apr 2026 - 23:59 (Europe/Vienna) Country Austria Type of Contract Temporary Job Status Part-time Hours Per Week 30 Is the job funded through the EU Research Framework Programme? Not
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multiple tasks, and maintain confidentiality Strong organizational skills and attention to detail Computer and related software skills to include Word, Outlook, Internet, etc. Typing, drafting, filing, and
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: 7044778 AY26 - ProjectMATCH Internship LOS ANGELES COMMUNITY COLLEGE DISTRICT PROFESSIONAL OPPORTUNITIES MENTORSHIP PROGRAM ANNOUNCEMENT OPEN TO ALL ACADEMIC DISCIPLINES Applications accepted between April
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software to analyze and present data. There is a strong emphasis upon journal publications and grant proposals. Actively participate in ongoing interdisciplinary projects in the Computational Neuropsychology
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, including tuition assistance. Eligible for enrollment in the Public Service Loan Forgiveness Program. https://www.youtube.com/watch?v=BALBcUSl7ck Job Related Minimum Required Education and Experience Requires
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, Intelligent Systems Engineering, Network Engineering and Security, and Software Engineering. Find out more about SoC at https://www.cdm.depaul.edu/academics/Pages/School-of-Computing.aspx . Qualifications
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Bachelor’s Degree in Computer Science or a related field or equivalent experience. Four years’ experience in software systems administration and support: designing, installing, configuring, and troubleshooting
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software components for autonomous driving and Advanced Driving Assistance Systems / ADAS Where to apply Website https://www.unimore.it/it Requirements Additional Information Eligibility criteria Eligible
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support the Bowdoin Sustainable Cleaning Program by collaborating closely with the Cleaning Management Team to schedule and oversee routine cleaning tasks, daily assignments, and project‑based work