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the agricultural or food sector Knowledge and experience in technological processes Excellent written and spoken German and English skills Strong team spirit, commitment, a responsible approach to work, as
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work through innovation. We help our partners by making technical systems more robust, reliable, flexible and easy to use. At the same time, we increase the resource efficiency of industrial processes by
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Methodological skills: Python, Fortran, C, C++ High performance computing Good didactic skills High written and oral expression skills Computer user skills Excellent command of English Ability to work in a team We
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achievements Additionally, the following skills would be desirable: • Experience with teaching • First publication experience • Experience with interdisciplinary research • Knowledge of structures and processes
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, students, etc.). You administrate job advertisement in recruiting processes and support hiring of new staff members right through to the first steps of onboarding. You accommodate and assist guest
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Above-average academic success (at least in the field of civil and corporate law) Excellent computer skills (MS-Office) Experience in working with databases Very good written and spoken English Very good
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: • You support the professorship with all administrative tasks (such as budget and personnel management, scheduling, office organisation, planning and processing of business trips, etc.) • You help
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the necessary qualifications to support us, especially in the technical operation of VERA. The position is initially limited to 6 months with the intent to extend indefinitely. Your job includes: You support the
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The Computational Drug Discovery and Design Group (COMP3D, https://comp3d.univie.ac.at/) at the Faculty of Life Sciences focuses on developing computer-based methods, particularly those involving machine learning and
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agonists or antagonists on G-protein coupled receptors located in the peripheral and central nervous system. Our goal is to address the clinical needs to diagnose and treat the neurological pathologies