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- NTNU Norwegian University of Science and Technology
- NTNU - Norwegian University of Science and Technology
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- NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
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network that equips early-career researchers with solid theoretical foundations, advanced empirical methods, and the ability to engage across disciplines. We welcome candidates with strong academic
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common technique to reduce memory size and bandwidth, power, and computational demand is to perform quantization, where the precision of individual operations is reduced below eight bits. An open challenge
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(viability, proliferation, outgrowth, and invasion assays) is desirable. Experience with, or interest in, machine learning for the analysis of microscopy data and a strong ability to collaborate with
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until obtaining a PhD Carry out research of good quality within the framework described above Academic publications and popular science dissemination Participate in the research group SIMLab (https
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to evaluate and inform digital health interventions for women at increased risk of GDM. The project will primarily utilize data collected from a completed randomized controlled trial (https://bump2babyandme.org
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have a great work capacity and enthusiasm for research Personal skills, including abilities to work independently and cooperate within a research group will be evaluated The candidate must be fluent in
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for our activities on nonlinear and hybrid integrated photonics to carry out experimental research towards realizing hybrid integrated high power tunable lasers and electro-optical frequency combs
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to evaluate and inform digital health interventions for women at increased risk of GDM. The project will primarily utilize data collected from a completed randomized controlled trial (https://bump2babyandme.org
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well as researchers from 15 international institutions. More on the project at http://sure-ai.no . Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality
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characteristics Highly motivated for applied and collaborative research. Excellent communication and teamwork skills. Self-driven, structured, and reliable. Innovative mindset and ability to work across disciplines