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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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Natural History Museum in Frankfurt am Main is one of the world’s leading research institutions in the field of biodiversity. At our twelve sites in Germany, scientists from over 40 nations conduct cutting
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within the partners of the project. Fluency in English (written and spoken) is required. Process, share, integrate and transfer responsibly the results of the project. I.4. Gross monthly wage: 2.351,53
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SEEC, as well as to coordinate the processing, analysis, and presentation of surveillance data to the research community, stakeholders, and the general public. In addition, the role includes producing
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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
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Grant, focusing on the development of novel deep learning tools to recommend reaction conditions for the synthesis of novel TRPA1 inhibitors. The project “A machine learning approach to computer assisted
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corpora data correlation. Requirements: A master’s degree in Computational Linguistics, Computer Science or related fields. Solid background in Machine Learning and Natural Language Processing Experience
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on the outskirts of Vienna. In 2019, ISTA was ranked #3 in the world-wide Nature Index ranking (normalized). In 2018, ISTA was ranked within the top ten of Nature Index Rising Stars “Top 30 academic institutions
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be expected to teach advanced courses in Artificial Intelligence—particularly in machine learning, statistical learning, natural language processing (NLP), symbolic AI, computer vision, and related
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curing experiments of the composite, till the build-up of residual stresses. These experiments are complemented with finite element simulations to understand the different steps in the processing