760 evolution "https:" "https:" "https:" "https:" "U.S" "St" "St" positions in Norway
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to theoretical development and empirical knowledge both at TIK and in the greater community of innovation scholars. Much of the ongoing work in the innovation group is based on externally funded projects
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research profile: https://www.hvl.no/en/studies-at-hvl/study-programmes/responsibleinnovation-and-regional-development/ Qualification Requirements Qualification Requirements Applicants must have a relevant
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Complete the doctoral education in collaboration with project partners Carry out research of good quality Contribute to the development, implementation, and validation of AI-based design tools and methods
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, internationally recognized for high quality in research and education. As a societal institution, we shall contribute to sustainable and democratic development and be an attractive and inclusive place to study and
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cell states. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/295327/researcher-position-in-functional-genomics-and-cancer-research Where to apply Website https
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The Master project should treat methodological aspects with mathematical tools. The candidate must show a strong interest in method development. Proven competence in probability, linear algebra, and
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would like to take a PhD in biology and integrated weed control. You will conduct research how germination and development of black nightshade and hairy nightshade are affected by various abiotic and
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position The Structural Mechanics group (https://www.ntnu.edu/kt/research/sm ) is
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interconnected Internet-of-Energy (IoE) ecosystems. In this context, the MSCA Doctoral Network project SAILING (https://Secure AI and Digital Twin Empowered Smart Internet-of-Energy ) aims to establish a
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The position An exciting postdoctoral position in method development for spatio-temporal medical data is available in the UiT Machine Learning Group at the Department of Physics and Technology . Goal: Develop