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with collaborators · Experience in Single Cell Multi-omics techniques and multiple component analysis programs is an advantage · Previous experience in immunology research is an advantage
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dynamics methods, and the study of the dynamics of G-protein coupled receptors complexes to understand its signaling selectivity. The project is inter-disciplinary and provides opportunities to train in
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the molecular mechanisms of thymic regeneration. We are looking for a highly motivated candidate with a PhD and/or MD degree interested in using novel biological and computational methods with the aim
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with computational methods to develop strategies to improve CAR T cell activity. We aim to develop and mechanistically study novel cellular therapies with the goal of clinical translation. For more
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. We are looking for a highly motivated candidate with a PhD and/or MD degree interested in using novel biological and computational methods with the aim of developing novel strategies to improve CAR T
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data and health record information, to develop predictive models for drug response. Furthermore, we work on creating new treatment stratification methods to personalize treatment for individual patients
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advanced computational methods for studying complex biological systems, merging statistical mechanics, dynamical systems, and Bayesian networks. We collaborate on disease research like leukemia, glioblastoma
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single cell sequencing approaches. The Fellow willalso contribute to other ongoing immuno-oncology projects in the team. As a successful candidate, you will use the following methods: Immune profiling
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Medicine aims to apply mathematics, physics, and evolution-based research to clinical care in oncology. We are a dynamic, diverse group dedicated to advancing mathematical and computational methods, with a
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the optimization of methods for efficient gene-modification of target cells and their transfer into clinical-scale manufacture processes, as well as in the development and qualification of project-specific potency