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additional cooperation with Haukeland University Hospital. About the project/work tasks: The primary objective of this project is to develop novel radiometal complexes conjugated to bioactive molecules
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University Hospital. About the project/work tasks: The primary objective of this project is to develop novel radiometal complexes conjugated to bioactive molecules for advanced applications in PET imaging. PET
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environment within the research-based innovation Centre for Effective Engineering and Learning in Complex Systems, SFI CELECT . Its vision is to do more with less- and faster. Norway’s leading industrial
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of Informatics at Blindern, Oslo. Job description Unsupervised machine learning (ML) methods are widely used to explore structure in complex and high-dimensional data, particularly in the life sciences, where
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knowledge of the complex interplay between genes and environments in shaping our health and the position we occupy on the social and economic ladder. More specifically, we use the quickly increasing
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application of (digital) technology in organizations Experience with complex project work in organizations, either in research or in practice Personal qualities Ability to work analytically and systematically
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machine learning (ML) methods are widely used to explore structure in complex and high-dimensional data, particularly in the life sciences, where clustering analyses often form the basis for biological
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suitable compressible gases no longer exist and the required infrastructure becomes prohibitively complex and energy intensive. Solid-state caloric cooling represents a promising and environmentally friendly
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and structural effects of various peptides on both simplified and complex membrane systems. The project will entail a combination of computational and experimental work, both directly and in
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), (c) estimation methods for latent variable models (e.g., two-step approaches or approximate maximum likelihood estimation), or (d) meta-analytic models to address complex data structures (e.g., spatial