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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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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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team on their commitment to support you in the final phase of your writing process. You have ensured that there is no other funding source available. For detailed information on requirements and
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on the description, critical analysis, and scientific explanation of phenomena of education. Your subject area will include the education and training processes in specially created social institutions (such as
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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
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experience, including experience in digital documentation, interpretation and reporting. Knowledge of digital image processing and geographic information systems (preferably QGIS) is desirable. You will have
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and spoken German, English and Japanese Ability to work in a team Additional skills and competence (desirable skills): Knowledge of university processes and structures What we offer: Work-life balance
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(MM-DD-YYYY) | Working hours: 40.00 | Classification CBA: §48 VwGr. B1 lit. b (postdoc) Limited contract until: Job ID: 4004 The research group “Atmospheric Transport Processes,” led by Prof. Andreas
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the mechanistic and evolutionary drivers of patterns and processes from gene regulation to the structure and function of ecosystems and the impact of communities on the biogeochemical cycles and their adaptive