8 finite-element-methods Fellowship positions at UiT The Arctic University of Norway in Norway
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4 PhD Fellows in Deep Learning at Visual Intelligence Research Centre and UiT Machine Learning Group
new solutions within healthcare and precision medicine, be at the forefront in marine ecosystem monitoring by AI, enable novel methods for more efficient use of energy resources or infrastructure, and
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quantum mechanics methods to molecules. In Tromsø, this theme is primarily represented by research concerning multiwavelet methods to describe electronic structure and molecular properties. Additionally
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snow applications and developing data analysis methods, so the PhD candidate will benefit from collaborations within the group. Roles and responsibilities of the PhD fellow The candidate’s specific
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experience, preferably accompanied by deck officer Certificate of Competency (CoC), as this competence can be highly beneficial for comprehending the human factor challenges involved in maritime navigation and
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Brøndbo Email: per.h.brondbo@uit.no via Unsplash Qualifications This position requires: Interest in work and organizational psychology Interest in research methods and statistics A master's or cand. Psy
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-use ropes in aquaculture, exploring their usage patterns, methods to reduce their consumption, and the implementation of biodegradable alternatives. The project work will involve field experiments
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techniques, different histological methods and advanced imaging. Contact For further information about the position, please contact Associate professor Anett Kristin Larsen : phone: +47 77 62 52 12 e-mail
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organization within cardiomyocytes. In this project, we will explore Brillouin spectroscopy as a non-invasive all-optical method that can be used to deduce mechanical properties at the microscopic level through