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sits at the intersection of AI Safety and Data-Centric AI. We aim to make large-scale ML more reliable, transparent, and aligned with human values. We are specifically interested in: Data-centric AI
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communication and data presentation skills Fluent in English (German is an advantage) Motivated, collaborative, and able to work independently Expectations for successful candidates: The language of the school is
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the assignment to a particular salary grade. It is that easy to apply: The following information need to be submitted as one single pdf-file up until 02 August 2026 via the VDSP webform: Transcript of your study
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The Vienna Doctoral School of Philosophy. For more information, see https://vd-philosophy.univie.ac.at/ The successful candidate will: finalize their dissertation agreement within 12-18 months; complete
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requires high experimental skills from planning to implementation to data acquisition and processing. You must have extended hands-on experience in at least two of the following areas: molecular beam sources
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be an advantage: Programming and data analysis experience Experience with working on high-performance computers What we offer: Research freedom: Develop your own ideas within the project’s broad scope
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, stratosphere, troposphere), Further develop the Lagrangian transport model FLEXPART as required for this application; Perform case studies and compare simulation results with measurement data, e.g., as obtained
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qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 08/11/2026 Prae Doc