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determination methods (X-ray crystallography and single-particle cryo-EM) and a high-performance GPU computer cluster for structural biology. Your profile The successful candidate should have: A Ph.D. degree in a
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on experiments and enhance the accuracy of property and phase equilibrium estimations. In this project, we aim to advance the COSMO-based thermodynamic models to accurately predict the phase equilibria and key
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the development of electro-thermal models, state estimation methods, and control strategies to support efficient battery operation and thermal management. The Postdoc will collaborate with colleagues at AAU Energy
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Job Description Do you want to do research on cutting-edge machine learning methods? If you are building a career as a researcher in machine learning and are passionate about working with cutting
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level the candidate is expected to be able to communicate in Danish. Who we are In the Automation & Control section, we focus on developing mathematical and computational methods for modeling, estimation
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Job Description Would you like to join a team that supports the green energy transition by developing wind turbine response and validation methods and solutions? We are seeking a highly motivated
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positions are highly laboratory based and experience developing hypotheses, designing experiments, undertaking experiments and developing analytical methods is essential. Previous experience in pyrolysis
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positions are highly laboratory based and experience developing hypotheses, designing experiments, undertaking experiments and developing analytical methods is essential. Previous experience in pyrolysis
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challenges, particularly in low- and middle-income countries (LMICs) where surveillance systems are often limited or lacking. Traditional laboratory-based methods, widely used in high-income countries
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. The topic of this Postdoc position is the development of data-driven methods to estimate river streamflowusingsatellitealtimetry. Particularly, the Postdoc willexplore hybrid deep learning models