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Field
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cutting-edge methods to visualize cellular organization. As one example, we are using time-resolved cryo-vitrification (both cryo-plunging and high-pressure freezing) to visualize the nanoscale dynamics
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dynamical structure directly from time-series data. This includes methodological work on nonlinear state-space reconstruction, system identification, reservoir computing and related recurrent architectures
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has its roots in gas-phase reaction dynamics and spectroscopy. Meanwhile, its research has been extended to other applications, e.g. the structure determination of carbohydrates. Applicants should hold
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ecology component of the pelagic work package. The role focuses on understanding the structure, stability and climate resilience of pelagic and mesopelagic food webs, particularly prey fields associated
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development to have real-world impact and contribute to a dynamic and enthusiastic research team. As a Quantitative Research Fellow, you will: Lead and support the design, programming and implementation
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work will be at campus Kongsberg. You will be a part of a dynamic research environment. The person appointed will be affiliated with the Industry-oriented Research Centre for Effective Engineering and
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complementary biophysical assays on G-quadruplex- and i-Motif-forming DNA/RNA sequences to investigate their structural equilibrium, dynamics, and ligand binding interactome in vitro and in the intracellular
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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contaminants. He/she is required to perform the followings: • Lead experimental research on thin-film composite (TFC) membranes, with emphasis on polyamide interfacial polymerization control, nanoscale structure
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to promoting equality for women in science and engineering. Our Faculty offers exceptional research facilities in fluid dynamics, structures, and their interactions. This includes a world-class fluid dynamics