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Neurobiologie (ZMNH) Main tasks You will join the Institute of Medical Systems Biology and the bAIome Center for Biomedical AI (baiome.org) to complement our lively and enthusiastic team of machine learning and
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computational biology/chemistry, machine-learning for biological or chemical data, and drug discovery/design. Mentorship is taken seriously and every effort will be made to ensure the candidate is able to achieve
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biology. Biochemical purification of proteins. Languages skills: fluent command of English; knowledge of another language of the European Union is an asset. Researchers are supported by easy access to
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is connected to the vibrant local ecosystem for data science, machine learning and computational biology in Heidelberg (including ELLIS Life Heidelberg and the AI Health Innovation Cluster ). Your
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2025. Highly motivated and committed candidates with an interest in DNA damage response pathways and chromosome biology are encouraged to apply. The post is fully funded, although the post-holder will be
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supportive team. Applicants with Ph.D. degree or submitted thesis / publication will be considered. The ideal candidate will have a background in immunology, epigenetics, cell biology. Experience in working
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between technology development and clinical needs. In this stimulating environment, our newly formed research group focuses on developing fundamental synthetic biology-based technologies for applications in
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models. A PhD in immunology or cancer biology is required. Candidates should have at least one first-author peer-reviewed publication. Interested individuals should apply by submitting a CV, a one-page
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motivated and skilled postdoctoral researcher to join our interdisciplinary team focused on longitudinal proteomic analysis to decipher differential biological action of photon, proton and ion beams on rat
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friendly and supportive team. Applicants with Ph.D. degree or submitted thesis / publication will be considered. The ideal candidate will have a background in immunology, epigenetics, cell biology