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/356343/postdoc-position-modelling-impa… Requirements Specific Requirements You hold a PhD degree in ecology or environmental science. You have proven experience with quantitative analytical methods (meta
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modelling; reporting findings in peer-reviewed journals and at international conferences; contributing to the supervision of PhD candidates within the team. Where to apply Website https
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-inverse-model… Requirements Specific Requirements a PhD in atmospheric research experience in atmospheric inverse modeling you are eager to help solve the global methane puzzle a strong interest in working
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, develop analytic tools for genetic data, and contribute to statistical modelling. In addition to pre-specified work outlined in the Starting Grant, you will have the opportunity to develop related
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, providing a chance to test your models in real-world scenarios. You will also have the chance to closely collaborate with a SmartEM PhD candidate.
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of floodplain channels and lakes). By combining field monitoring and numerical modelling approaches, we will assess how reactivated paleochannels, constructed floodplain systems, or other solutions can create
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- and neuron-targeting anti-obesity drugs in these ex vivo systems. In parallel, you will collaborate with a team of postdocs, PhD students, and technicians working with genetic animal models
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research on topics including, but not limited to: Continual learning, with a focus on novel optimization techniques and memory architectures. Advancing the reasoning capabilities of large language models
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of functional glycans in situ and development of advanced infection model systems to study the role of functional receptors. These models will include (genetically engineered) stem cell-derived 2D and 3D
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on diffusion and/or flow matching, that can rapidly adapt pre-trained models to new tasks and select optimally informative simulations at each stage in a design process. Collaborate closely with PhD students