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(model-based) systems engineering, whilst applying systems analysis techniques based on formal methods, AI, and optimisation and will be expected to submit publications to top-tier conferences and journals
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. The recruited IR will therefore engage in an exploratory approach to predict binding sites on alternative E3 ligases and identify new E3 ligase ligands, relying on druggable pocket detection methods and in silico
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Secondary Education Program seeks applicants with expertise and experience in the following areas: Middle Grades and Secondary Education Generalist Middle Grades and Secondary English Language Arts Methods
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» Computer engineering Researcher Profile Recognised Researcher (R2) Country Canada Application Deadline 8 Feb 2026 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer
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), electronic payment methods, etc. 4. Knowledge of high-volume data processing and validation standards. Familiarity with computer or robot automation processing. Knowledge, Skills and Abilities Comprehensive
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and accessories. Install new Medical Gas piping including mains, branches, wall outlets and proper testing. Cut pipe and thread, using threading machine or other mechanical method, and bend pipe by hand
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Education & Supervision Track. The Department also houses a number of extramural professional education, technical assistance and research projects. Additional information can be found at: https
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Are you ready to take your research career to the next level? The Biopolymer NMR Group (https://folk.ntnu.no/aachmann/ ) is looking for a candidate to be hired for a least three-year postdoctoral position
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
Number 20074383 Vacancy ID P020734 Full-time/Part-time Permanent/Time-Limited Full-Time Permanent If time-limited, estimated duration of appointment Hours per week 40 Work Schedule 7:30 am-4:30 pm (M- Th
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. The methodology is focused on hybrid Physics Informed AI methods, time series, prediction, causality discovery, data analytics, advanced visualization to monitor and forecast natural and human activity in support