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pipelines for EHR data curation and extraction (structured codes, labs, medications, etc.), including the handling of missing data and irregular sampling. Developing methods for synthetic patient alignment
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Offer Description ROCINANTE is a 5-year ERC-Consolidator Grant aiming to unravel and tame the non-linearly oscillating structures and turbulence present in electrodeless plasma thrusters for in-space
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 7 hours ago
collection from air- borne (unpiloted aerial systems) and vehicular mounted sensor systems for determining pavement functional and structural conditions. The project that the candidate will be working on is
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energy consumption. The demonstration of high-power energy recovery (exceeding 1 MW), particularly for high currents, remains a major challenge. It requires detailed simulations of beam dynamics o study
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The core of this research lies in the “science of science”—using large-scale data from scientific articles, patents, and grants to characterize the dynamics of research and innovation. A central
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University (AAU) in Aalborg. This full-time position offers a unique opportunity to contribute to high-impact research in drones, AI, and human-computer interaction. Successful candidates will join a dynamic
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Post-doctoral position (M/F) for testing drought-based BEF relationships at CEFE Montpellier, France
especially more severe and frequent drought events, which alters their structure, biodiversity and functioning and threatens their renewal and carbon sink. Their vulnerability is expected to increase in
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spectroscopic tools (photoelectron imaging and action spectroscopy) to study the structure and dynamics of transition metal complexes. The research project aims to develop a new method for elucidating
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Questions of how Darwinian evolution started are addressable with modern biochemistry. Applicants are invited for a . The project, termed Circles of Life (COL), explores the structural basis
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. The main aim of the Vici project is to transform our understanding of income support by causally identifying how its structure and scope shape children’s long-term outcomes. It will generate insights