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Field
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directional molecular motion required for microscopic machines. Coupled PMMs have demonstrated concerted, directional intramolecular rotation to support molecular translation. These dynamics are driven by
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for the rapidly developing quantum technologies. Quantum-optical measurements become especially intriguing in systems such as atomic ensembles or molecular processes whose quantum nature remains unclear. These open
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molecular techniques (e.g. qPCR, metabarcoding) to characterise pathogen life cycles, host responses and environmental tolerances. Fieldwork will be conducted at selected coastal sites to assess natural
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are expected to provide insights into the fundamental dynamics of molecule-plasmon coupling and contribute to the development of molecular quantum light sources, paving the way for advancements in nanoscale
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learning. Experience with the Open Force Field software stack. Experience with the OpenMM molecular dynamics software. A developing track record of peer-reviewed publications in internationally recognised
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central question in evolutionary biology and has profound implications for predicting host–pathogen dynamics in changing environments and biodiversity conservation. In this project, you will investigate
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at the molecular scale, even breaking covalent bonds. Indeed, mechanical force is a formidable source of energy that, with its ability to distort, bend and stretch chemical bonds, is unique in its ability to promote
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expression, purification and mutagenesis and liposome reconstitution, respirometic studies with isolated mitochondria), and biophysical methods to study protein dynamics, conformations and molecular
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of tomorrow and creating novel solutions to major global challenges. Our community is made up of 13 000 students, 400 professors and close to 4 500 other faculty and staff working on our dynamic campus in Espoo
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interatomic-potentials (MLIPs), refined for molten salt mixtures hosting other nuclear material solutes. We will perform density functional theory (DFT) calculations and molecular dynamics (MD) simulations