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Field
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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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us if you’re excited about revealing molecular mechanisms controlling RNA stability by combining biochemical reconstitution, cell biology and genetics approaches. A strong background in these
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
being operated from various platforms and under environmental conditions out of the operator’s control. Therefore, new specific data processing and management procedures need to be developed. Within
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PhD student to join the team. The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years if the employer does not terminate it
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limited to 1.5 years, the employment relationship is automatically extended to 3 years if the employer does not terminate it within the first 12 months by submitting a declaration of non-extension. About
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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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and in a team environment Excellent command of English (written and spoken) The successful candidate is expected to move to Bergen Desired Qualifications: Experience with Stata Experience with causal
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resident in Spain. 2.4. Have a good command of any of the official languages of the Valencia Region for the performance of the job. 2.5. Be at least 16 years of age and not exceed the maximum compulsory
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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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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