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state. The project will specifically investigate the role of endogenous retroelements in this context. Immune-functional consequences will be studied using in vivo mouse models, and in cell culture
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, longitudinal pattern mining, and explainable artificial intelligence for complex system analysis and understanding tightly collaborating with biologists and domain experts for iteratively refining models
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, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer
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in vitro platforms and humanized mouse models Your Profile: Required qualifications: PhD in virology, immunology, or a related field Degree in life sciences, human medicine, or veterinary medicine In
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state. The project will specifically investigate the role of endogenous retroelements in this context. Immune-functional consequences will be studied using in vivo mouse models, and in cell culture
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of inflammation remains the role of hypoxia. In this 3-year CRC (DFG)-funded position, we will use novel genetic reporters and transgenic models to specifically address the role of hypoxia during these processes
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resilience and its change over time in the past (based on Earth observation data), present and future (based on Earth system model simulations for different future scenarios, e.g. using the CMIP6 ensemble and
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | about 1 month ago
Modelling Dr. Dominik Sidler – Theoretical Modelling Our team in Hamburg is committed to the ab initio description of quantized light–matter interactions in the non-relativistic limit. Our mission is to
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Max Planck Institute for Biology Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
on methanogens and microbial ecology and we have recently developed innovative strategies for the targeted manipulation of non-model gut-associated organisms. Description The candidate will be expected to leverage
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resilience and its change over time in the past (based on Earth observation data), present and future (based on Earth system model simulations for different future scenarios, e.g. using the CMIP6 ensemble and