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scenarios for new production concepts at an early stage, develop models and simulations for these scenarios, and verify relevant data at plant-simulation level. A central part of the work will be
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to experimentally derived disorder models and data from methods such as total scattering/pair distribution function analysis, diffuse scattering, diffraction, solid-state NMR and electron microscopy. Work closely
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postdoctoral researcher to join an interdisciplinary team developing deep learning models for antimicrobial resistance (AMR) detection directly from MALDI-TOF mass spectrometry data. The project is funded
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analyze interviews with company representatives, trade unions, labour inspectors and other authorities, and experts. Gather and analyze supplementary data such as statistics, archival data, media sources
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benchmark the developed framework using project data, high-fidelity simulations including hardware in the loop, and relevant industrial case studies, assessing its robustness and computational performance
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find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here The appointment process at Aalborg University involves a shortlisting process. You can
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machine learning to rich molecular data and uncover the molecular basis of IBD. The successful candidate will build prediction models from high-dimensional molecular measurements, with a particular focus on
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employment The place of work is Universitetsbyen 81, 8000 Aarhus C, Denmark, and the area of employment is Aarhus University with related departments. Contact information For further information, please
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methods for approaches such as model-data fusion techniques. The main focus of your position will be to develop and apply a scalable process-based modeling framework to evaluate climate-smart management
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information can be found here. We believe in encouraging inclusion, acceptance, and understanding by employing staff who bring unique perspectives to our department. What we offer A collaborative, international