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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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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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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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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
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Are you interested in developing enzymes and using them for sustainable ammonia synthesis and can you contribute to the development of the project ENGREENIT? Then the Department of Biological and