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sequencing, enabling integrative analysis of spatial gene expression, tissue architecture, and genomic alterations at early stages of lung carcinogenesis. Your Tasks Scientific & Computational Responsibilities
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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
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of chromosomes and specific DNA sequences within the nucleus influences gene expression by visualizing nuclear architecture combining molecular biology, biochemistry, and super-resolution imaging methods
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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
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Postdoc (f/m/d) on Generative AI for de Novo Protein Design / Completed university studies (PhD) ...
scientific background # A solid background and motivation to learn more about structural/molecular biology, protein biophysics, generative models, software engineering, or a related subject # Previous
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or machine learning, proficiency in deep learning techniques (CNN, VIT, diffusion, GAN) Good understanding of the mathematical foundations of machine learning Mastering python and related AI software
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as a single PDF file via our online application tool: Cover letter (1–2 pages) outlining your fit CV with publications and links to code/software (if available) Up to 3 representative papers
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software (GraphPad Prism), and bioinformatics tools (R, BLAST) Fluent in both written and spoken English What we offer Goal-oriented, individual training and development opportunities including conferences