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Field
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knowledge recombination, conceptual distance, topic novelty, and uncertainty. The project will mostly rely on econometric analysis of large-scale microdata sets for researchers in Denmark, in particular, high
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: select and co-develop indicators and methods to assessing circular transition pathways and systemic change across environmental, economic and social dimensions; apply approaches like network analysis and
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standard molecular simulation/analysis tools (e.g., AMBER, VMD, PyMOL, Chimera, Cpptraj). ● A track record of first-author publications in peer-reviewed journals, and strong written and oral
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highly qualified education for engineering students within the area of bioengineering. It is furthermore collaborating in broad, interdiciplinary national and international networks within academia and the
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grant proposal writing, and related tasks. Further development and practical implementation of innovative MRI acquisition and data analysis methods. Providing scientific and methodological support and
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, intracellular molecular networks, and molecular messengers. This is accomplished by robust quantification of these subsystems by Quantitative Fluorescence Microscopy, PCR analysis, gel electrophoresis, Western
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of the DBSCI (imaging platforms of the LPCV, IBS, PFNC, equipped with instruments such as FIB-SEM and cryo-TEM, etc.). You will work in close collaboration with IBS to build a local network aimed at developing
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highly collaborative research team dedicated to advancing our understanding of epilepsy, sleep physiology, and neural networks through cutting-edge clinical and translational research. Working alongside
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epigenomic data analysis or gene regulatory network inference Ability to work independently and collaboratively in a multidisciplinary environment Excellent written and spoken English skills What we offer
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Do you want to combine high-throughput directed evolution with machine-learning analysis of deep sequencing data to engineer better antibodies? The Sormanni Lab in the Department of Chemical