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their fundamental knowledge in basic cell function to engage creative new concepts of biological engineering to translate mechanistic insight from model organisms, in particular yeast, into more complex cellular
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postdoctoral researcher with a strong interest in human liver biology who is eager to work at the interface between advanced tissue engineering, stem cell biology, complex multicellular systems, and
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systems. Key responsibilities Develop modeling tools to assess the environmental and socio-economic sustainability of industrial supply chains and processing technologies. Implement optimization models and
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global demand for computing systems capable of handling massive data flows while drastically reducing energy consumption. Within France's national PEPR SPIN program, our team investigates innovative spin
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 4 hours ago
, stem cell models of differentiation and cell biology approaches. Key questions include how cells regulate global rates of protein turnover, how chemical modifications mark proteins for removal and how
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) Experience in genomics, single-cell data, or machine learning (preferred) Why this is exceptional Build next-generation AI models of the human genome Work with one of the richest longitudinal PD datasets
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of climate and energy policies. The Integrated Assessment Modeling team at the Aerosol Chemistry Department of the Max Planck Institute for Chemistry (MPIC) develops and applies modeling frameworks
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their fundamental knowledge in basic cell function to engage creative new concepts of biological engineering to translate mechanistic insight from model organisms, in particular yeast, into more complex cellular
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positions. Dr. Wei Peng's group (www.weipengenergy.com) focuses on modeling institutional and human dimensions of energy transition to identify realistic and robust decarbonization strategies. The appointment
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axes: AI-driven territorial diagnostics and foresight, integrating multi-source satellite data with machine learning and spatial modeling Climate–water–energy–agriculture interactions, with applications