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) EEG experiments, implementing and developing EEG-specialized transformers, testing them on EEG data from social interaction experiments, developing new explainability methods, and disseminating
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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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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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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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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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. To optimize the controllability of cold storage using phase change materials, a novel charge determination method (measurement of energy stored) will be developed in the laboratory. You will work at the
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for Quantitative Sustainability Assessment of the Department of Environmental and Resource Engineering (DTU Sustain). The section spearheads the development of sustainability assessment methods. You will become part
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with both academic researchers and industry experts across Europe. Your key responsibilities will include: Conduct analysis of polymer membrane waste materials Develop electrospinning methods to produce
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methods for experimental validation of near-field interaction Fabrication, measurement, and assessment of one or more prototypes Dissemination of scientific results in highly reputed journals and
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into retinal cell types and 2.5D organoid-like tissues Apply imaging and molecular biology methods to characterize cellular phenotypes and disease mechanisms Present findings at international conferences and