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at (inter)national expert meetings and conferences. We are looking for highly motivated and enthusiastic candidates, with a PhD degree in Psychology, Behavioral or Cognitive Sciences, Data science and related
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Austrian Academy of Sciences, The Marietta Blau Institute for Particle Physics (MBI) | Austria | 2 months ago
positrons to the experiment. Publish results in high-impact journals and present results at international conferences. Teach PhD and Masters students within the group. Your Profile Ph.D. in experimental
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Time Posting Number 26FA0706 Posting Open Date 08/10/2026 Posting Close Date 08/21/2026 Qualifications Minimum Education and Experience PhD in Materials Science and Engineering or related fields
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their effective start date. This position is for a post-PhD trainee preparing for a research career path in academia or industry. The planned position will provide a transition to career independence through
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an opportunity to contribute to research with clear real-world impact, while developing methodological and collaborative skills within a supportive academic environment. About You This role is ideally suited to a
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will perform in application to the green steel. This project is aimed investigating the impact of using green steel as a substrate and at the same time improving the performance of this type of coatings
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Challenge: how to quantify vertical movements hidden inside regional unconformities? Change: the regional geology of the Saharan Platform. Impact: geo-practitioners interacting with the Saharan
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effectiveness and impact using questionnaires developed by the project intern Write scientific publications and papers in French and English to disseminate research findings Present research progress orally
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, presentation of results at conferences, and production of peer-reviewed publications. Position Requirements PhD in chemical engineering, chemistry, electrochemistry, materials science, or a related field
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executed. In close collaboration with PhD researchers and project partners from TUM and ETH, you will contribute to the development of novel control and learning methods for aerial manipulators and multi