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regenerative medicine. Duties The field of synthetic biology is highly interdisciplinary, combining advanced molecular tools (e.g., CRISPR-based genome engineering), computational algorithms, and DNA/RNA
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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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support and resources for postdoctoral fellows. Minimum Requirements: A doctoral degree in the life sciences, computer science, or related field. Experience in molecular and/or developmental biology
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is part of an interdisciplinary project funded by the Human Frontiers Science Program (www.hfsp.org) and involves collaboration with researchers from biology and mechanical engineering from the UK
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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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program during the postdoctoral training. We are looking for an enthusiastic scientist with a desire to work on a challenging and timely project using state of the art technology as part of a friendly and
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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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or Masters in a related field with demonstrated expertise in molecular and cell biology. Experience with mice preferred. Special Instructions Requisition Number: PRN42129B Full Time or Part Time? Full Time
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program during the postdoctoral training. Requirements: We are looking for an enthusiastic scientist with a desire to work on a challenging and timely project using state of the art technology as part of a