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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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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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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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leading the establishment of a centralized repository for genomic data and metadata, with a strong emphasis on existing and novel methods for the evaluation of genome quality, indexing and clustering
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behavioral and 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
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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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electronic states Experience with one or more of the following theories/methods: - wave-packet quantum dynamics (e.g., AIMS or MCTDH programs) - mixed quantum-classical dynamics, such as non-adiabatic MD (e.g
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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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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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and physical principles of negative ion mode LC-MS/MS-based peptide analysis. The project combines method development and mechanistic exploration with downstream applications in proteome