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learning potentials (MLPs). You will develop geometric graph manifold learning methods and utilize those to learn from heterogeneous quantum mechanical datasets. You will implement and benchmark state
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, experimental and computational methods to study the physiology of microbes. You will work in a team contributing to projects of other team members, while independently developing your own project. You will also
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aiming to establish a novel method to measure the activity of enhancers and promoters in single cells and apply this method to disentangle the differentiation of cell types in developing tissues. This will
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industry or academia. Your tasks will include conducting research on machine-learning-based methods for mitigating impairments arising from system components and transmission media in quantum communication
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the tomographic 3D printing methods. All parts of the object we want to produce are cured simultaneously. We are exploring the benefits of use two (or more) wavelength of light to achieve higher resolution
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expected, as well as teaching in other study programmes at Aalborg University. Your competencies We are seeking motivated and talented candidates with a solid foundation in AI methods and mathematics, and a
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The Computational Protein Engineering (CPE) group at The Novo Nordisk Foundation Centre for Biosustainability (DTU Biosustain) is developing novel methods to engineer proteins more effectively using
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physiological methods to investigate the effect of singing exercise on vocal muscle properties and vocal performance in songbirds. Specifically, this includes developing and using behavioral paradigms to control
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Job Description The Computational Protein Engineering (CPE) group at The Novo Nordisk Foundation Centre for Biosustainability (DTU Biosustain) is developing novel methods to engineer proteins more
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publicly held (listed) companies. The department's researchers collaborate on specific research projects using a variety of quantitative as well as qualitative methods. Teaching responsibilities