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- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
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engine of Artificial Intelligence (AI). It is a fundamental force of technological progress in our increasingly digital, data-driven world. Researchers in Integreat develop theories, methods, models, and
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opportunities of exceptional postdoctoral researchers from around the world. Selected candidates will have the opportunity to develop their research ideas in one of four areas of quantum science: Quantum Theory
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4 PhD Fellows in Deep Learning at Visual Intelligence Research Centre and UiT Machine Learning Group
, e.g. self-supervised learning, convolutional neural networks, transformer-based networks, eigenvalue/eigenvector-based methods, graph-based approaches, Bayesian learning, information theory, geometric
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expert team of glacier modellers and the continually progressing HiDEM code, and will be embedded in a large team of PDRA ocean and ice modellers within GRAIL. As such, there is scope for the postholder
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A4 poster of project description including reference list. The outline should present and discuss possible research questions, theory perspectives, material, a progress plan, and methods within
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numerical literacy in developing computer code for simulation models and for data analysis and interpretation. About the project/work tasks: The first position is part of the research project Thermos
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, or experiences and understandings amongst different groups of citizens. A variety of analytical perspectives and qualitative methods are relevant, including public connection research, folk theory analysis
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groups of citizens. A variety of analytical perspectives and qualitative methods are relevant, including public connection research, folk theory analysis, critical algorithm studies, ethnography and
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requires a thorough understanding of marine ecology, the role of the environment, and the capabilities of marine organisms, but also good numerical literacy in developing computer code for simulation models