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to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position Digitalization and artificial intelligence (AI
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, Chemistry, Physics, Engineering, Mathematics, Computer Science, Data Science, Machine Learning or Artificial Intelligence a minimum 2:1 undergraduate degree (or equivalent) Excellent spoken and written
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Drilling. Desired skills: Machine Learning and Artificial Intelligence experience skills Python (for data analysis, automation, scripting, and simulations) Personal characteristics To complete a doctoral
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AI enhances the robustness, fairness, and explainability of artificial intelligence systems by explicitly modeling causal mechanisms and incorporating domain expertise. Situated at the intersection
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Analytical Food Chemistry at Technical University of Munich | Freising, Bayern | Germany | about 2 months ago
systems to plant and animal organisms, from soil to ecosystems, from food to nutritional medicine, from biogenic raw materials to biotechnology – while making use of the benefits of artificial intelligence
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/ Robust) Combinatorial Optimization, Game Theory, and Network Theory, as well as Artificial Intelligence. Potentially, scenarios could be simulated using agent-based, discrete-event, or other techniques
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Science, and Artificial Intelligence. FIMM is part of the Nordic EMBL Partnership for Molecular Medicine - composed of the European Molecular Biology Laboratory (EMBL) and the centres for molecular medicine
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offering an exciting PhD position within the Norwegian Maritime AI Centre , a national centre with a focus on applied artificial intelligence (AI) in the maritime sector. The maritime industry is adopting AI
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centre with a focus on applied artificial intelligence (AI) in the maritime sector. The maritime industry is adopting AI technologies. The next decade will bring extensive digitization of operational data
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Manufacturing and/or AI Robotics. Focus areas include: yield/defect causal analysis and XAI; process-variation monitoring and root-cause analysis; intelligent scheduling/dispatching for WIP/throughput (multi