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machine-learning models and on-the-fly human intervention in the otherwise automated process. Through efficient design-synthesize-test cycles, we aim to arrive at highly potent inhibitors with properties
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21 Mar 2024 Job Information Organisation/Company University of Bergen Department Geophysical Institute Research Field Physics » Metrology Researcher Profile Recognised Researcher (R2) Country Norway
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that integrate expert knowledge early on, via machine-learning models and on-the-fly human intervention in the otherwise automated process. Through efficient design-synthesize-test cycles, we aim to arrive at
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innovation is an advantage. Experience with machine learning based tools to detect and process earthquake data is an advantage. Experience with scientific programming is a requirement. Experience with the
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. Specifically, the team will develop methods that integrate expert knowledge early on, via machine-learning models and on-the-fly human intervention in the otherwise automated process. Through efficient design
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. Experience with AI-related research and/or innovation is an advantage. Experience with machine learning based tools to detect and process earthquake data is an advantage. Experience with scientific programming
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grammars, planning, cognitive models, models of the writing process, and the distinction between story and discourse. Some prominent examples are TALE-SPIN, DAYDREAMER, and MEXICA. The research objective is
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grammars, planning, cognitive models, models of the writing process, and the distinction between story and discourse. Some prominent examples are TALE-SPIN, DAYDREAMER, and MEXICA. The research objective is
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. The systems that are the basis for these nubs will include ones using story grammars, planning, cognitive models, models of the writing process, and the distinction between story and discourse. Some prominent
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