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, Master and PhD levels, spread out on five campuses Førde, Sogndal, Bergen, Stord og Haugesund. Our ambition is to build stronger and more solid academic and research environments that will interact
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-called “solid air voids,” such as superabsorbent polymers, microspheres (solid air, master air, etc.), cork powder, and soft and/or porous fibers. Other approaches include gas formation in fresh concrete
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at Bachelor, Master and PhD levels, spread out on five campuses Førde, Sogndal, Bergen, Stord og Haugesund. Our ambition is to build stronger and more solid academic and research environments that will interact
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continues to undergo profound physical transformations. The prospect of a “blue,” seasonally ice-free Arctic Ocean introduces new risks and reshapes patterns of activity. On land, melting permafrost and
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career opportunities? As a PhD Candidate with us, you will work toward completing your doctoral degree while gaining valuable experience that qualifies you for a career in higher education and research
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autonomy. Aiming to break new ground this PhD project focuses on developing novel foundation models for underwater robot perception and navigation. The aim is twofold: to advance foundation-model
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collaborate on common ground. Are you motivated to take a step towards a doctorate and open up exciting career opportunities? As a PhD Candidate with us, you will work to achieve your doctorate, and at the same
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state or associated member state. Applicants must have an MSc (or equivalent) degree in mechanical engineering, mechatronics, robotics, or a similar engineering discipline. Students who are already in
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UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments
that the PhD Candidate is a citizen of a CERN member state or associated member state. Applicants must have an MSc (or equivalent) degree in mechanical engineering, mechatronics, robotics, or a similar
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of operating across the wide diversity of robot configurations found in aerial, ground, and aquatic domains. Today’s autonomy stacks remain highly specialized to each morphology, in sharp contrast