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Dana Foundation Professional Development Awards Eligibility: Applicants must be currently affiliated with an academic or non-profit institution in the United States and enrolled in a training
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and automata, and the interaction between formal methods and artificial intelligence. We welcome candidates interested in topics ranging from foundational theory to the development and evaluation
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parameters that determine energy fluxes and permafrost dynamics using inverse problems techniques. The developed algorithms and methods will be integrated into the LPJmL Dynamic Global Vegetation Model. Close
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-invasive targeted drug delivery to the brain. Our laboratory recently developed a novel focused ultrasound-mediated targeted drug delivery platform, published in Nature Communications (https://www.nature.com
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development of digital quantum algorithms for the simulation of non-abelian lattice gauge theories. We are looking for highly motivated individuals, with the desire to perform theoretical physics research
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to guarantee user-defined error bounds of reachable sets for nonlinear and hybrid systems. This project will exactly close this research gap: We will develop essentially new methods to ensure that algorithmic
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the theoretical foundations for future applications at the intersection of spintronics, magnonics and quantum information science. Successful candidates will apply and further develop theoretical methods
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the MULTIMOC project funded by ANR ASTRID and as part of the GRAFIC project funded by the Nouvelle-Aquitaine Region. The aim is to develop an all-fiber laser source end component, whose special feature will be
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Yang (Research Team Leader at MPIC). The project aims at developing AI-powered molecular modeling tools to uncover how molecules form atmospheric aerosols — tiny particles with huge impacts on climate
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Renewals: 10 months Objectives • Develop homogeneous and stable polymeric coatings for membranes intended for gas permeation applications. • Incorporate Metal–Organic Frameworks (MOFs) into coating systems