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. The position is embedded in the collaborative research program “Precision Organoid Engineering for Multi-Organ Interaction Studies (POEM)”: www.uni-heidelberg.de/en/cctp-poem The POEM program aims to generate
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. Applicants should present innovative research programs that facilitate and promote collaboration within the cluster of excellence but also with colleagues at COS and the Heidelberg life science community
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. Applicants should present innovative research programs that facilitate and promote collaboration within the cluster of excellence but also with colleagues at COS and the Heidelberg life science community
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to supervise PhD, Master and Dr. med (thesis as part of medical studies in Germany) students. The fellow will also have the opportunity to teach as part of the institute’s Masters and doctoral program but will
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university degree (master’s) or completed doctorate Excellent knowledge of software development, including web-based software Excellent knowledge and experience in at least one programming language, including
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of the MaReCuM model study program is also expected. Prerequisites for application are a completed university degree in medicine, a qualified doctorate, and successful teaching experience. In accordance with
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to teach as part of the institute’s Masters and doctoral program but will not be required or expected to do so. The salary is paid according to the German TV-L system (the salary agreement for public service
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or cognitive science or related Programming skills, particularly in Python (including interface integration) Experience with handling LLMs (e.g., GPT-4) and their API interface Basic knowledge in Natural
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programming skills (e.g., Python, R, C/C++) and experience with high-throughput sequencing data. Solid understanding of RNA biology, transcriptomics, and epitranscriptomics. Desirable Skills Experience with
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Responsible planning and implementation of experiments within the framework of the scientific project plan Develop and establish new methods in the laboratory to enable new research approaches Isolation