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application! We are looking for one or two PhD students in Multiagent Automatic Control at the Information Coding Division (ICG), which is based at the Department of Electrical Engineering (ISY). You will be
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semantic querying and reasoning over materials-science/physics corpora Developing pipelines for semantic enrichment of unstructured data, including entity recognition, relation extraction, and automatic
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pipelines for semantic enrichment of unstructured data, including entity recognition, relation extraction, and automatic ontology alignment in physics and materials domains Build and maintain ontologies, OWL
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://env-psy.univie.ac.at/) . The position is advertised for a period of three years, with the employment contract initially limited to 1.5 years and automatically extended to a total of three years unless
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or experience in strong collaborations and interdisciplinary work at the intersection between machine learning, geophysics and acoustic data modeling. A strong experience with software defined radio Automatic
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and administration. Your profile: Completed Master's / Diploma degree in the field of Astrophysics Extensive programming knowledge (Python) Excellent command of written and spoken English (C1 level
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automatically extended to a total of three years unless the employer issues a non-renewal statement after a maximum of 12 months. An extension to four years is possible subject to mutual satisfaction and work
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assistants and interns (see https://env-psy.univie.ac.at/) . The position is advertised for a period of three years, with the employment contract initially limited to 1.5 years and automatically extended to a
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effectively in a team. You have an excellent command of written and spoken English. What we offer: Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working
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effectively in a team. You have an excellent command of written and spoken English. What we offer: Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working