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Field
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physiological parameters An interest in data analysis and AI Collaborating with the POEM platform head as well as other postdocs and research groups in the interdisciplinary POEM network Integrating the findings
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Your Job: Lead the development and fine-tuning of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering Fine-tuning and evaluation of open-source LLMs
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: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with: A highly motivated research group as
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of project results at international scientific conferences Curation and publishing of data collected in the framework of the project Supervision of students and research assistants in project-related tasks
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natural products for further investigation. The candidate will assist in the isolation and purification of natural products and the subsequent structural elucidation using NMR. When beneficial, chemical
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to the development of personalized microbiome-based strategies to aid in the detection, monitoring, treatment, and prevention of human diseases (e.g., Li et al., Nature Metabolism, 2024; Ni et al., Cell Metabolism
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Rosenbaum. Within the consortium, the junior research group of Robotic-assisted Discovery of Antiinfectives (https://www.leibniz-hki.de/en/robotic-assisted-discovery-of-antiinfectives.html ) focuses
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-temporal overlaps in the presence of both human and marine mammal activities. By using sighting data and ship positional data, as well as passive acoustic recordings, the project will provide an overview
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Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with: Comprehensive training
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which are funded by the federal and state governments. The research institutes belong to the Leibniz Association. WIAS invites applications as Research Assistant Position (f/m/d) (Ref. 25/14) (PostDoc) in