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knowledge Integrity: earning the trust of those we serve and each other through honesty, transparency, accountability, and continuous reflection Collaboration: approaching all opportunities with
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(postdoc) Limited until: 31.10.2032 Reference no.: 6212 There are many good reasons to want to research and teach at the University of Vienna. And one is why around 7,700 academic staff members before you
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at scientific conferences and publish results in peer-reviewed journals. Collaborate with multidisciplinary teams, including internal and external research partners, and remain current with emerging developments
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, the successful candidate(s) will work closely within the respective team, and with the research group and collaborators, conducting a variety of materials characterization techniques including polarized optical
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-of-action and pharmacologic response data. Attention to detail. Ability to work collaboratively with internal and external research partners. Ability to learn and apply drug discovery and development
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are invigorated by the creative potential of our global collections to impact teaching, learning, and research across Cornell University, and to broaden our reach as a world-class academic art museum. The Johnson
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within battery state estimation, with a particular focus on emerging sodium-ion battery technology. You will be involved in both independent and collaborative research activities in close interaction with
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, spans the breadth of computing disciplines. Our internationally visible research, strong industry links and diverse environment create a collaborative setting where ideas grow into real impact. At
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on developing new generative modeling approaches, scalable training algorithms, and foundation model technologies. The role is suited for candidates with a strong machine learning background who are excited
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the Computing & Engineering Department. The group is very dynamic, ambitious, well networked and delivers state-of-the-art research in a range of machine learning and data science topics, publishing research