30 algorithm-"Multiple"-"NTNU---Norwegian-University-of-Science-and-Technology" positions in Ireland
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networks, making use of intelligent AI-driven control planes. The work will involve: i) (i) development of network probing algorithms for OSNR/GSNR measurement automation; (ii) development of adaptive ML and
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to prioritize and accomplish multiple responsibilities. The successful applicant will be an adaptable, growth-orientated person who is excited to work collaboratively with a diverse group of scientists, and will
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studies on multiple pilot sites. • Undertake and support laboratory analysis on collected samples inc. nutritional, physiological, molecular, and food quality. • Assist with sustainability assessments inc
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to the development of a state-of-the-art population-based analytic data system that serves multiple needs of decision support, population monitoring, and comparative effectiveness research The position is based
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focusing on ensuring a just transition to a circular economy in Ireland’s food and fashion industries, with a focus on resource recovery. This project will have multiple parts to it including mapping
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, be organised and flexible, with experience of managing multiple tasks against tight deadlines. They will exercise a high level of discretion with confidential information. The position represents
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to represent the project when interacting directly with external and internal stakeholders. Excellent program management skills and a demonstrated track record of managing multiple projects with evidence of good
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multiple stakeholders 2. Illustrate, through past example, their ability to facilitate a mentoring process Note • Candidates who do not address the application requirements above in their cover
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possible co-appointment in the Department of Computer Science. The project combines theoretical and experimental approaches to develop renewable DNA computing devices that perform multiple computations in a
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yet are essential to account for their nature and functioning. The post-doctoral researcher will work with the Research Team to address this lacuna through comprehensive analysis across multiple in