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scattering, x-ray circular dichroism, photoelectron spectra, and nonlinear x-ray signals Model ultrafast molecular dynamics using time-resolved observables, including numerical solutions of the time-dependent
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analysis. Technical Skills: Experience with advanced finite element software and nonlinear static and dynamic analyses. Specifically, high proficiency with both DIANA FEA and ABAQUS. Strong numerical skills
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learning, uncovering the modes of learning available to linear and nonlinear systems, their expressiveness and capacity, and the physical imprints of learned tasks. The postdoctoral researcher will
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dynamics, it is therefore necessary to correct aberrations over time to restore a diffraction-limited illumination beam. This will be achieved using an adaptive optics (AO) loop specially designed for in
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
professors and close to 5000 faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic
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ICFO is offering a postdoctoral position to a well-qualified, highly motivated and dynamic young scientist who wishes to enhance his/her scientific career in a friendly and stimulating environment
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at the Institute of Molecular Genetics of Montpellier (IGMM UMR5535, CNRS and University of Montpellier), in a highly international and interdisciplinary research environment. Montpellier is a dynamic Mediterranean
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, when dynamics are complex, nonlinear and partially unknown, such a model is typically obtained from observations by performing system identification -- one notable example is given by Gaussian process
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systems. However, when dynamics are complex, nonlinear and partially unknown, such a model is typically obtained from observations by performing system identification -- one notable example is given by