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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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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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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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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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facilities Competitive research in an inspiring, world-class environment A wide range of offers to help you balance work and family life Further training opportunities and free in-house language courses
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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