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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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(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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opportunities? Do you have a background in Electric Power and/or Control Engineering, and are you interested in working at the intersection between both fields? As a PhD candidate with us, you will work toward
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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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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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. Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Ability to work independently as well as in teams Good communication skills and ability to work in close
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, transcriptomics, proteomics, metabolomics, or phenomics Documented experience in operating and managing bioprocesses at either laboratory or higher scale. Demonstrated academic and personal ability to successfully
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postdoc: independent research track record (publications, research leadership, mentoring, project delivery). For postdoc: demonstrated ability to plan and execute research independently Desired
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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://www.ntnu.edu