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networks are controlled, to develop predictive models of methane cycling in northern rivers. This postdoc position will focus on assessing how stream methane emissions are linked to permafrost thaw, using
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modeling. Experience in cell culture, molecular cloning, and bioinformatics analyses is required. Proficiency in statistics and programming are highly meriting, especially in gene regulatory networks
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(“first hit”). Her team uses human pluripotent stem cells to model the early stages of the disease. As a postdoctoral researcher in the lab, you will be a key member of an interactive research team with
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investigates inflammation in health and disease using cutting-edge exposure systems and advanced 2D and 3D cell models. In parallel, NanoSafety2 focuses on the toxicity assessment of particle emissions from
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models of interacting ecological and evolutionary (eco-evolutionary) processes. You will conceptualize and model the complexity in which ecological divergence and speciation drive an adaptive radiation
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spinal cord as a model system. You will engage a systematic strategy to identify these mechanisms by generating innovative mouse genetic strains, identifying embryonic defects and the underlying molecular
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relevant subject. Experience working with statistical data analyses and mixed models. Merit: Knowledge of forage crop management. Knowledge of statistical analyses of experiments, mixed models, and
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variants High-resolution cryo-EM and cryo-ET imaging to resolve molecular structure and guide engineering Protein design and molecular modeling, supported by AI tools such as AlphaFold2 Development
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at the interface using computer simulations. At the beginning simulations will be used to model polymeric particles, such as microgels. With these simulations we will study how the individual particle
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of research results. The project has a particular focus on bioinformatic analyses of data from experimental models and patient data, but tasks may be broadened depending on the project's needs. The postdoc is