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. The successful candidate will be joining the Atomic Quantum Optics group led by Prof. Dr. Morgan Mitchell to conduct research on quantum sensing using atomic ensembles. The role also includes preparing results
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- Process data and develop predictive chemometric models - Prepare manuscripts, reports, and presentations for dissemination of findings within the scientific community. - Evaluate the obtained results and
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exploring the evolutionary trajectories of energetic frustration from ancestral to extant proteins, combining ancestral sequence reconstruction, structure prediction, and statistical energy models
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spectroscopy, especially applied to the analysis of lipids or oils. Experience in the application of chemometrics to develop predictive models Participation in competitive research projects related to the field
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approaches capable of guiding experiments, interpreting results in real time, generating predictive models of materials synthesis processes, and refining experimental strategies under a Human-In-The-Loop
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year of work experience) - Knowledge and training in Research, Epidemiology, and Statistics (1 point, 0.2 per course and/or 0.5 per year of work experience) - Experience in the Predict research line (2
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guided by theoretical predictions and will combine magnetotransport measurements with material growth and characterization, including MBE and angle-resolved photoemission spectroscopy (ARPES). What We
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anticipation. Unlike static distributions, these models should represent the spatiotemporal transition functions of human states—predicting how a person will move or interact with objects(/persons) based
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liquid phases have been predicted. It can be realized using atoms with two valence electrons, such as ytterbium or strontium. To investigate such SU(N) physics, our group has developed a quantum-gas
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bilingual exposure that accurately predict bilingual infants’ individual language outcomes. For this purpose, we will conduct large-scale longitudinal studies, combining a variety of neuroimaging, behavioral