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access to state-of-the-art facilities in sound/video recording, motion capture, eye tracking, physiological measurements, various types of brain imaging (EEG, fMRI), and rapid prototyping and robotics
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process. Copy of education diploma (including explanation of degree system for education outside Scandinavia) List of 2 references (name, relation to candidate, e-mail, and phone number). Please note that
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until 2033. The candidate will pursue research on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case of dynamic sequential inference and
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to improve the modelling and governance of biodiversity under uncertainty. The project develops process-explicit, hierarchical models that capture key ecological dynamics, integrate diverse and incomplete data
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with 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 research group on statistical models
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philosophy to improve the modelling and governance of biodiversity under uncertainty. The project develops process-explicit, hierarchical models that capture key ecological dynamics, integrate diverse and
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used to treat a range of autoimmune diseases with a minimum of side effects. Your main tasks will be Isolation of antigen-specific B cells and plasma cells from patient samples Generation of recombinant
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antigen-specific depletion strategies. Ultimately, our goal is to develop precision medicine tools that can be used to treat a range of autoimmune diseases with a minimum of side effects. Your main tasks
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Learning (ML) , a centre of excellence funded by RCN and in operation until 2033. The research group on statistical models for high-dimensional and functional data is part of the larger and active research
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researchers will investigate AI’s impact on creative processes, develop innovative CoCreative AI systems and educational strategies, and address AI’s ethical, cultural, legal, and societal implications in