18 modelling-complexity-geocomputation Postdoctoral positions at Aarhus University in Denmark
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Do you have experience with modelling structures subjected to dynamic loading? Are you interested in data-driven methods for modelling applied loading? Are you eager to share your knowledge within
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five bioclimatic zones. Your task will be to combine multi-source data — including field observations, environmental measurements, and satellite imagery — with mechanistic models to assess carbon
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engaging research environment. The postdocs will work on cultural alignment and preference optimization of large language models (LLMs) for mid to low-resourced languages. The overarching goal is to develop
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, or landscape modelling Further, we will prefer candidates with some of the following qualifications: Teaching and supervision experience at the BSc and MSc level Interest and preferably experience in developing
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to integrate various structural biology data (NMR, SAXS, FRET, EPR) as well as computational models and simulations to create and interpret conformational ensembles of disordered protein regions, with the goal
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an interdisciplinary project in neurobiology and work together with proteomics experts. You will be working primarily with mice models and primary neuron cultures. You will be involved in the Center for Proteins in
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MSc level Interest and preferably experience in developing competitive national and international research applications Experience in managing large datasets and modelling Experience in planning and
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complex experiments, including timelines, resource management, and troubleshooting. Skills in histology, microCT, microscopy (e.g., confocal, fluorescence) and optionally microbiology. Knowledge and