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Field
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data-driven modeling. The successful candidate will develop and apply data-driven methods for chemical discovery and molecular design. These methods include machine-learned interatomic potentials, data
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lit. b (postdoc) Limited contract until: Job ID: 6036 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if
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English (C1) and German (C1) Supervise bachelor and master theses Continuously enhance teaching quality, assessment methods and the overall student learning experience Conduct independent and collaborative
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particular, in the areas of continuum mechanics of solids, computational mechanics and machine learning Willingness to independently familiarize oneself with new subject areas and work on interdisciplinary
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found here: https://lfuonline.uibk.ac.at/public/karriereportal.details?asg_id_in=15878 The University of Innsbruck is committed to raising the quota of female employees and therefore explicitly welcomes
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for chemical discovery and molecular design. These methods include machine-learned interatomic potentials, data-efficient and uncertainty-aware modeling, enhanced sampling, and statistical thermodynamics
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to receiving your online application. The full, legally binding call for application (in German) including the salary can be found here: https://lfuonline.uibk.ac.at/public/karriereportal.details?asg_id_in=15858
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Description Start date/duration 15.09.2026 for 4 years Job profile: Your tasks: Dissertation in the field of machine learning and robotics Independent research in the field of machine learning and robotics
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Description Start date/duration 15.09.2026 for 4 years Job profile: Your tasks: Dissertation in the field of machine learning and robotics Independent research in the field of machine learning and robotics
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teaching and research projects Contribute to publications, conferences, and exhibitions Conduct independent academic research Teach independently Undertake organisational and administrative duties Essential