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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
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related field. Experience in organic synthetic chemistry. Basic programming skills in Python or advanced knowledge in another programming language that enables coding in Python. Strong problem-solving
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” (funded by the German Research Foundation, DFG). PhD Researcher in Computational Linguistics (m/f/d, E13 TV-L, 75%) The position begins on 01 October 2025 and ends on 30 June 2029. The position is
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Menéndez Benito). The project aims to contribute to our understanding of how linguistic devices update the Common Ground by carrying out a systematic description and analysis of the evidential uses of verbal
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(cooperation with R programmer) modelling impact on soil ecosystem services in various real use cases and different scenarios. (several SOILPROM case studies in different countries focusing on different
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in another language, if there is no Portuguese or English version of them. Whenever the originals of the documents referred to in III.2.3. are produced in a different language, a translation document
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-canonical questions in a small sample of European languages from different language families (approx. 4 languages, e.g. English, German, Italian, Hungarian). Only applicants that hold a master’s degree (or
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engineering, data science, computer science, or a related field. Experience in organic synthetic chemistry. Basic programming skills in Python or advanced knowledge in another programming language that enables
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include quality assessment, processing and filtering of different data modalities, and co-supervision of junior researchers in the group. You will have the opportunity to develop your own research ideas and
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of the documents referred to in III.2.3. are produced in a different language, a translation document into Portuguese or English shall be delivered. III.4. Applications that are not duly instructed or do not fulfil