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, protocols, and data standards across collaborating institutions and scales. This collaboration will support the generation of coherent, high-quality datasets and enable the development of predictive models
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-driven analysis and modeling. These are interdisciplinary positions that combine environmental engineering, materials science, and sustainability assessment. We are looking for motivated and forward
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-scale research facilities, such as synchrotrons, for EXAFS and high-pressure XPS measurements. We also work in close partnership with the CatTheory group, using DFT-calculations and microkinetic modelling
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empathic person with a PhD degree in mechatronics engineering, MEMS, neurotechnologies, applied physics, nanotechnology, neural interfaces, biomedical engineering or similar. Advanced skills in electronics
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the opportunity to co-supervise BSc, MSc, and PhDs, and we expect you to actively engage with the team and make your expertise available to your colleagues. We seek a talented physicist with an
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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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, you are expected to determine the molecular super-structure of TZ. You will monitor the gating mechanism of TZ in cellular models such as RPE1 or cultured dopaminergic neurons by immunofluorescence
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models to quantify phenological responses. Collaborate with internal and external partners, including leading researchers in phenology and population biology. Mentor master's students participating in
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project supported by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases”, led by Prof. Daniel Merkle. The expected starting
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well as experience working with animal models and/or cellular assays, and you are looking for an opportunity to put your skills into practise, you have it right here. The Research Group for Food Allergy at the DTU