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(starting with MCP or LangChain), the project will design, specify, implement, and evaluate advanced capabilities such as self-organisation, spontaneous generation, self-protection, and auto-scaling
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to assess the significant characteristics. Where to apply Website https://www.unibo.it/it Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy
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the proteins involved in the Coenzyme Q10 (CoQ) biosynthesis. The project aims to investigate the rescue effect of restoring MAMS stability by sphingomyelinase (SMase)..Omissis. Where to apply Website https
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the group of dr Jacek Herbrych (https://jacekherbrych.github.io ) within project NCN SONATA BIS 13 2023/50/E/ST3/00033 entitled “Properties of low-dimensional quantum systems with charge, spin, and orbital
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the Institute of Physical Chemistry PAS within National Science Center (NSC) https://www.ncn.gov.pl/sites/default/files/pliki/uchwaly-rady/2024/uchw… - zal2_ang.pdf Leader Dr hab. Jan Paczesny This project
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evaluate new explainable AI methods for medical imaging, with a focus on diffusion-based models Design, train and externally validate foundation models for CT imaging Work with large-scale and heterogeneous
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also their globality and totality, their immediate effects and their long-term global repercussions. More information can be found on the project website: https://blockades.eu/ Join us! This postdoc
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
, as articulated in the School’s Strategic Plan (https://pharmacy.unc.edu/about/oe/strategic-plan/). Our Vision is to be the global leader in pharmacy and pharmaceutical sciences. Our Mission is to
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be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited to): Assists with grant preparation and reporting. Prepares
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of historical cyber incidents, vulnerabilities, and associated risk indicators; Developing, validating and evaluating a predictive demo model (e.g. regression-based or hybrid statistical/ML approaches