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immunotherapy with graph neural networks trained on spatial single-cell tumor microenvironment (TME) data from non-small cell lung cancer (NSCLC). Using high-dimensional datasets, you will learn bi-directional
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models with cutting edge molecular techniques to define the pathobiology of respiratory diseases and develop novel therapeutic strategies. The Müller Lab collaboratively designs high-throughput molecular
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hypotheses. This is a fantastic opportunity to contribute to world-class science in a leading biotechnology company. Who you are: Candidates must have a PhD in Computational Biology or Computational Science
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networks, and how these can be exploited for therapeutic intervention. We employ state-of-the-art in vitro and in vivo models to dissect cancer biology and develop new strategies to target key
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characterize novel therapeutic modalities. At Genentech, you will be immersed in a vibrant scientific community that offers generous resources, cutting-edge technologies, and a collaborative network of leading
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streamline and accelerate the development of the projects. Share research through scientific publications, national and international conferences, and internal presentations. Who You Are: PhD graduate in
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, professional development workshops, and networking opportunities. The postdoc program is designed to empower recent Ph.D. graduates to conduct world-class research, publish in top-tier journals, and build a
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network. By joining us, you will receive the mentorship and support necessary to develop into an independent scientist and leader. The Genentech Postdoc Program provides access to world-class seminars
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leveraging collaborations within the group and across Research & Development. Who You Are: PhD in Computational Biology, Computer Science, Applied Mathematics, or similar field Demonstrated record
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-class research, publish in top-tier journals, and build a robust scientific network. By joining us, you will receive the mentorship and support necessary to develop into an independent scientist and