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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 24 hours ago
Do you want to help transform human health through machine learning and life science approaches? Join AITHYRA in Vienna for a fully funded PhD at the intersection of machine learning, experimental
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changing work. Its projects examine what happens when generative and agentic AI enters leadership, everyday workflows, team communication, professional learning and career decisions. Across the network
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relevant fields, at the time of applying Organise dissemination and communication activities within the AI LEARN centre Be able to work independently and in a structured manner, and have good collaboration
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decision-making. Working with real-world data from Alliander, you will publish at leading machine learning venues while building tools with tangible impact on the Dutch energy sector. The Dutch energy
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interdisciplinary project with strongly established international collaborations. As a result, you will travel internationally to collaborators’ labs to learn different approaches and develop your own research
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and sustainability; Investigate and apply artificial intelligence and machine learning techniques, including large language models (LLMs), across CENSE’s scientific body in its five thematic areas
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venues including Nature, PNAS, ICML, AAAI, etc. She collaborates widely through the Machine Learning and Global Health network, including with researchers at the University of Oxford, Imperial College
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) for education and professional practice, both at the individual level and/or in collaborative contexts. The project should explore how AI and other emerging digital technologies shape and transform work tasks
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to their communities and you may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options
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willingness to learn Swedish. A valid driving licence. Personal qualities, including curiosity, initiative, reliability, organisational ability and willingness to collaborate, will be important in the selection