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further academic qualification. Professional assignment: Chair of Scalable Software Architectures for Data Analytics (Prof. Dr. Michael Färber) Research areas: Natural Language Processing, Large Language
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of Copenhagen. The University of Copenhagen was founded in 1479 and is the largest in Denmark. Read more about the museum at http://www.snm.ku.dk/english/ . The position is open from 1 July 2026, or as soon as
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knowledge and practice, as drawn from the discipline of rhetoric and composition/writing studies. Our program’s learning goals are listed here: https://www.umb.edu/academics/cla/english/composition_program
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concepts and techniques of Artificial Intelligence (AI) and Machine Learning (ML) Knowledge in specific AI application areas such as Natural Language Processing (NLP) and Natural Language Generation (NLG) We
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, including time series analysis and statistics (e.g. mixed effects modelling) Capacity to develop computer code and experience with programming languages (Matlab, Python, R) and geospatial tools (e.g. ArcGIS
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candidate will have recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically
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university master’s degree or a four-year undergraduate degree in the field of biotechnical sciences, agriculture (4.01) Excellent command of English, both written and spoken Advanced computer skills Specific
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the undergraduate and graduate levels. Where to apply Website https://www.bth.se/english/vacancies/job/phd-student-position-in-software-engin… Requirements Research FieldComputer science » Computer systemsEducation
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covered by the Protocol on Job Structure. Application and Assessment Procedure Your application including all attachments must be in English and submitted electronically by clicking APPLY NOW below. Please
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knowledge of numerical methods Experience with flying drones and drone data processing (thermal IR, multispectral, LiDAR), fieldwork experience Strong English communication skills. Knowledge