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Field
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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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with contemporary machine learning methods. We are looking for an ambitious Postdoc who will lead our efforts on the design, implementation, and training of mechanistic models of cell organization. In particular, we
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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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energy systems modelers to supply validated process data for system-level energy and carbon footprint modeling. Supervise and mentor MSc and PhD students contributing to process analysis, instrumentation
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 6 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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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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for application to molten salt reactors (MSRs) and molten salt fuels, pyrochemical treatment of used nuclear fuel, and innovative applications in advanced energy systems being developed to meet the national energy
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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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numerical models (e.g., Gibbs free energy minimization to model phase equilibria and reaction energetics) under relevant pressure–temperature conditions. A central component of the role is integrating
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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