4,785 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral positions
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its treatment options in patients with OSA. Newly NIH funded projects also include mathematical modeling and machine learning of models of tissue hypoxia using sleep studies and molecular markers
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enthusiastic about incorporating AI-based and data-driven methods to extract new insights from Earth Observation data. We are particularly interested in candidates working on land-oriented applications such as
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Previous Job Job Title Post-Doctoral Associate - Measurement and Manipulation of Developing Cortical Networks Next Job Apply for Job Job ID 370353 Location Twin Cities Job Family Academic Full/Part
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, development and interpretation of experiments using human cellular models, as well as the ability to work independently and make experimental decisions. Oral and written knowledge of both official languages
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applications. Research activities may involve geophysical forward modeling, AI-driven geophysical inversion, seismic monitoring and imaging, scientific machine learning, depending on the specific research focus
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fluxes and acidification in global marine P cycling through a combination of field work in the North Atlantic Ocean, laboratory experiments and numerical modelling. A scientific cruise with our research
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language models, multi-agent systems, reinforcement learning and knowledge evolution, evaluated using industry operational datasets. These positions offer an opportunity to advance autonomous decision-making
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Tasks & Structure: Development of APIs for electrolysis systems and analysis devices Implementation of autonomous process control Conceptualization and implementation of degradation models
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of engagement. Read more at: Department of Computing Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven
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of hydrometallurgical processes such as leaching, solvent (liquid-liquid) extraction, and adsorption; evaluating process performance and operability; developing test plans and standard operating procedures; assisting