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the project In collaboration with the research group, the candidate will conduct a project within one of our three thematic areas of interest and expertise: a) Vocational education and social inequality
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the SFF Integreat, The Norwegian Centre for Knowledge-driven Machine Learning (ML) , a centre of excellence funded by RCN and in operation until 2033. The project PI and team are also in close collaboration
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immunological assays, advanced flow cytometry, fluorescence microscopy, and CRISPR editing/screens. The candidate is expected to collaborate with national/international partners and be prepared to travel. via
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. The successful candidate will acquire broad training in the necessary research skills, and the position will suit a candidate who is motivated to undertake high-level research in the interface between different
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on pulse detection and machine learning.” You will join the research group High Voltage Technology at IEL, where we foster an open, inclusive, and collaborative working environment. Our working environment
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structured candidates with excellent laboratory skills and excellent collaborative qualities. The successful candidate is positive-minded, well organized, looking forward to learning and developing new
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immediate leader will be the Head of Department. Duties of the position Conduct independent research in collaboration with the project team. The activities include: Literature review on solvent degradation
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into how users choose between CPIs when faced with diversity, learn in light ofconsidering criticism, and ultimately, why and how some CPIs become authoritative while others are marginalized
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be conducted within the Catalysis group at NTNU’s Department of Chemical Engineering, in close collaboration with the Process Systems Engineering group. The project focuses on advancing heterogeneously
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collaboration skills Motivation to contribute to a good working environment, both academically and socially Ability to follow through. Completion time on the master's programme may therefore be addressed