1,097 machine-learning-"https:"-"https:"-"https:"-"Fraunhofer-Gesellschaft" Fellowship positions
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/empirical analysis Technical capability in behavioural and organisational cyber security, and desirable experience applying AI or machine learning to cyber security contexts. Proven publishing ability across
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candidates/candidates who are in the closing stages of their master’s degree can also apply Solid background in artificial intelligence and machine learning, including deep neural networks Programming
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machine learning, real-time monitoring, and thermochemical insight to build smarter, self-improving materials processing systems. Your work will help strengthen a sustainable domestic lithium supply while
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documenting progress on data processing. Opportunities may also be available to participate in field data collection at various locations in the Pacific Northwest. Learning Objectives: As an educational
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community
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support of Division scientific goals · Collaborate with staff implementing advanced data pipelines, including applications of machine learning and AI for clinical prediction and identification of novel
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datasets from laboratory experiments will be provided to support simulation and verification of the resulting model. Replicate and learn a theoretical model for wave and current interaction by posing
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disciplines) Strong experience or demonstrated interest in AI, NLP, machine learning, or digital health research Experience working with clinical, communication, or patient-generated datasets is an asset
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resilience of bridges under climate change-induced hazards such as flooding, scour, and debris impacts. The research aims to develop advanced numerical models and machine learning tools to predict loads
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is to develop real-time truck-drone collaboration system to enhance Singapore safety and resilience and using learning-based approaches. Key responsibilities include: Collecting and analyzing relevant