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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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models in collaboration with our international collaborators. You would also develop advanced image analysis schemes to analyse the experimental data. Your focus would be to investigate the effect
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Lab ). Integrative analysis of single-cell multi-omics and spatial imaging data in cancer, immunology, organoids, etc., in the context of the Human Cell Atlas (single-cell analytics) and/or the ELLIS
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sequencing and synthesis to design useful cell behaviors. The scope of this project is to combine multi-gene control technology and computer algorithms to develop a foundational discovery platform for future
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motor behavior analysis. Technical experience with imaging, molecular biology, immunohistochemistry, in situ hybridization are also highly valued. Technical experience with embryo electroporation and /or
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in high-impact journals. Responsibilities Lead projects on developing novel analytical methods for studying the development and degeneration of the visual system Acquire, process, integrate, and
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, particularly in C++ and Python Good communication skills in spoken and written EnglishInterest or prior experience in machine learning techniques is considered an asset. You may expect a multifaceted and
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statistical analysis Competency in experimental design A strong desire to learn new techniques Should Have Either electrophysiology or imaging experience Skills Highly motivated Fluent in English Organizational
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list of questions we aim to tackle are: Why are only some bacteria capable of performing one or both processes? Under which environmental conditions do organisms that can execute both modifications
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the Biological Sciences. Interdisciplinary skills and approaches in Genomics, Advanced Imaging, Biochemistry, Bioinformatics, Cell Biology, Mouse models, and Research Translation are desired. This is an ongoing