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Field
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photosynthetic membranes. Specifically, pump-probe ultrafast nanoscopy of transport in model OPVs and light-harvesting complexes. Specifically, advance structured excitation methods for low light level exciton
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, and modification of 2D materials, advanced structural and electrochemical characterization, catalytic performance evaluation, and contribution to high-impact scientific publications and international
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: Interdisciplinary collaboration with PhD students and professors across multiple disciplines. Structured training through summer schools, keynote lectures by leading international scientists, and specialized courses
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consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and
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through ICT databases in order to uncover the different reasons for travel, including repeat and one-off journeys, socioeconomic and demographic variables, and city structure. PI: Dr. José Javier Ramasco
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to apply Website https://fam.tuwien.ac.at/jobs/20251218a.php Requirements Research FieldMathematics » Probability theoryEducation LevelPhD or equivalent Skills/Qualifications Your profile Completed
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 25 days ago
studies Neuroanatomy: external and internal structures of human brain Neural signaling: synapses, excitability and signal propagation: The neurotransmitter system in the neocortex: Neuronal and glial cell
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 hours ago
. Description: Coronal mass ejections (CMEs) are large-scale magnetized plasma structures ejected from the Sun with speeds ranging from a few to more than 2000 kilometers per second. The CMEs impart energy and
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an excellent publication record. Solid research experience in one or more of the following topics is expected: Graph neural networks Optimization algorithms Predicting structured output Self-supervised learning
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government officials decide to adapt to increasing risks and testing how governance structures and policy innovations affect resilience outcomes. Some examples of ongoing projects relate to how funding