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different areas of AI (such as machine learning, computer vision, natural language processing, and bioinformatics), hosting powerful computing facilities internally and as part of the EU EuroHPC supercomputer
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intelligence, natural language processing (NLP), and medical informatics. Your research will focus on developing agentic AI systems to automate the generation of structured medical reports, with applications in
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: Experience in food technology/processing, products development, and food analyses. Publications as the main author / corresponding author in international peer-reviewed multidisciplinary/respective field
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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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lead and contribute to the Chair group’s tasks in various national and international projects in the areas of empirical production and natural resource economics. Projects include large international
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proficiency Proof of Croatian language proficiency (C1 or higher, only for non-Croatian citizens) Optional: Documents supporting priority rights (war veterans, persons with disabilities) Application Procedure
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Procedure Your application including all attachments must be in English and submitted electronically by clicking APPLY NOW below. Please include: Motivated letter of application (max. one page) Curriculum
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are asked to apply via the Appointment Portal of the University of Bonn (https://berufungsportal.uni-bonn.de ). The application can be submitted in German or English by May 22, 2026. Dean’s Office in
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modelling The ability to work independently as well as collaboratively in a multidisciplinary, international environment Excellent communication skills in English, both written and spoken Important note
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Leibniz Institut für Naturstoffforschung und Infektionsbiologie | Jena, Th ringen | Germany | 4 days ago
microbiome-based strategies to aid in the detection, monitoring, treatment, and prevention of human diseases (e.g., Zhang et al., Nature Microbiology 2025; Li et al., Nature Metabolism 2024; Ni et al., Cell