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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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the development of computational methods for genetics, high-throughput omics data and causal discovery. Our interdisciplinary and international team is jointly located at DKFZ and EMBL Heidelberg, and
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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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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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graduate assistant for 19 hours per week for 12 months at Leipzig University. Application Papers Further information on the programme and the application requirements can be found on our website
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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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Design and realization of relevant simulation pipelines: from real-world data to mathematically and (e.g., clinically) applicable results Publication of results in scientific outlets (journals, conference
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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