39 modelling-complexity-geocomputation Postdoctoral positions at Nature Careers in Germany
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The Max Planck Institute of Molecular Physiology seeks to fill: PostDoc Position (m/f/d) in Structural Biology of Membrane Protein Complexes A fully funded postdoctoral position is available in
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-scale training of a foundational pelagic imaging model, which will be fine-tuned for species classification, trait extraction, and particulate organic carbon estimation. The model will allow to establish
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limited understanding of how tumors systemically impair immune responses. Meanwhile, traditional animal models often fail to capture the complexity of human immune-cancer interactions. This position
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a resilience performance modelling framework at the regional and European level. The place of employment is Hamburg. GERICS develops science-based prototype products and services in support to
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data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms to understand
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performing simulations with computational models of the Earth system on different levels of complexity scientific publication records appropriate for the experience level experience in scientific software
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). The aim is to use modern molecular biological methods and in vivo models to investigate the role of fibroblastic plasticity in cardiac remodeling and loss of function. Your role: Independent work on the
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—for bacterial control and therapeutic application. Together, we identify functional prophage genes, develop genetic tools, and test engineered phages in infection models. Your tasks Plan and perform in vitro and
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(SDPs). You will design climate change mitigation scenarios that respect both climate targets and sustainable development goals using the REMIND model, one of the world’s leading integrated energy-economy
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on Earth is a laboratory that has operated for billions of years, producing remarkably diverse, complex, and robust biological systems; however, significant challenges persist in understanding