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, accurately and securely. Goal of this PhD project High-capacity neural models, such as transformers, have been pivotal for establishing general-purpose models for a wide variety of natural language tasks
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, and level of data literacy, get insights from structured data, efficiently, accurately and securely. Goal of this PhD project Tabular data analysis is an emerging specialization of AI-powered systems in
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the Novo Nordisk Foundation, that will drive research and innovations at multiple levels - from developing scalable quantum processor technologies to solutions for the quantum-classical control and readout
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Status: Open Applications open: 4/04/2022 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information In many safety-critical workplaces
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for combined network design and resource pricing, incorporating fairness for different transport aspects (e.g., accessibility, emissions, safety) employ state-of-the-art metaheuristic algorithms (e.g., genetic
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and offers a high standard of living with high ratings in housing, safety, and healthcare. TUD strives to employ more women in academia and research. We therefore expressly encourage women to apply
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, safety, health and quality program requirements. Maintain strong dedication to the implementation and perpetuation of values and ethics. Deliver ORNL’s mission by aligning behaviors, priorities, and
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. Development of multimodal AI models that fuse data from multiple types of sensors to accurately model and predict wind turbine blade damage. Establish and develop data science pipelines for wind turbine blade
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for Environmental, Safety, and Energy Technology (UMSICHT), the Max-Planck-Institut für Kohlenforschung (Institute for Coal Research), and the Max-Planck-Institut für Eisenforschung (Institute for Iron Research
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powerful framework for decentralised machine learning. FL enables multiple entities to collaboratively train a global machine learning model without sharing their private data, thus enhancing privacy