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for precise interventions in the human microbiome and thus create the basis for chemical microbiome engineering for the future. Our international team is characterized by open, respectful cooperation, excellent
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and graph learning frameworks such as PyTorch, PyTorch Geometric. Knowledge in the field of drug discovery/molecular property prediction and recommender engines (especially using graph learning methods
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(prae doc), for a period of 4 years, focusing on process mining. The selected prae doc will become part of the Research Group Workflow Systems and Technology (WST) at the Faculty of Computer Science and
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position is at the Department of Accounting, Innovation and Strategy in the subject area Technology and Innovation Management headed by Stefan Wagner. The institute is part of the Faculty of Business
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role across a wide range of fields, from physics and biology to finance and engineering. But there's a catch: in most real-world scenarios, this equation lives in very high-dimensional spaces, making its
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: Human-Computer Interaction, Data Visualisation, Data Science, Information Science, Science and Technology Studies, Communication Science or a related field Methodological competence: First experience with
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in biochemistry and structural biology (cryo-EM). This position is funded through our ERC Starting Grant BROADCAST. If you are passionate about mobile DNA, structural biology, and genome engineering
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of the collective agreement regulations. Topics include, for instance, conflicting interests in space as well as innovation and technology for collective spatial action. You will take on administrative tasks in
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the research engineering and scientific field. All our current positions can be found at https://jobs.ait.ac.at/Jobs - In case you do not find a specific opening here, please submit your unsolicited application