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be engaged in interdisciplinary projects covering functional and structural studies of protein-protein and protein-RNA complexes. The primary methodologies that you will apply include CRISPR-mediated
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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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characterizations of molecules, their conversion, and their interactions in complex systems. Solvent effects, kinetic details and energy landscapes of extended reaction pathways are focus areas in our groups. You
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speech at the pinnacle of complexity. Like human babies, songbirds learn their vocalizations early in life from a social tutor. Numerous parallels to human speech learning, including analogous neural
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heterogeneous catalysis with the complex chemistry of carbohydrates and derivatives, then this position might be for you! Funded by a Green Research project by Independent Research Foundation Denmark, Associate
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in eukaryotes and are thus of fundamental importance to complex life. In contrast to advanced biomolecular understanding of core histones, the basic molecular knowledge on linker histones is currently
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impairments arising from practical limitations in CV-QKD systems (e.g., bandwidth constraints, ADC resolution, phase noise etc). Emphasis will be placed on energy-efficient, low-complexity hardware solutions
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-omics Network Analytics (https://multiomics-analytics-group.github.io/ ) aims to getting a holistic view of biological systems and their context to understand their complexity and provide new insights and
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at University of Southern Denmark is part of the response to the third objective, ‘Value of the building that is mobile’. The valuation of building materials is crucial, and complex because of the volatility
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sound, with human speech at the pinnacle of complexity. Like human babies, songbirds learn their vocalizations early in life from a social tutor. Numerous parallels to human speech learning, including