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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month ago
the 21st century whether the focus is cancer, energy, economics or literature Connections working at Massachusetts Institute of Technology (MIT) More Jobs from This Employer https://main.hercjobs.org/jobs
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Department: The Center for Satellite and Earth Science Research (CSER) advances Earth system science through cutting-edge satellite technology, data-driven research, and interdisciplinary collaboration. We
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approaches for identifying, modelling, and integrating uncertainty factors originating from IoE devices and system dynamics, combining data-driven learning with knowledge-based modelling techniques
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vision foundation model capable of accelerating discovery across the life sciences. We are seeking a highly skilled AI Research Engineer to join our team and advance our AI-driven scientific initiatives
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University of California, Los Angeles | Los Angeles, California | United States | about 24 hours ago
atmospheric modeling datasets of wildfire smoke pollution, linking smoke pollution exposure to human health outcomes, and analyzing wildfire smoke in the context of other climate-related exposures
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analytical thinking skills, particularly in understanding how databases support data-driven decision-making. All application materials must be submitted via Interfolio at https://apply.interfolio.com/183881
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these plants. The post-doc is expected to build upon existing in-house tools and, where applicable, enhance them by means of AI (machine learning) and data-driven methods. These models are aimed to support
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candidate will develop and test novel user interfaces that integrate state-of-the-art Large Language Models (LLMs) with novel logic-based multi-robot planning algorithms. This work will be evaluated through
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26 Mar 2026 Job Information Organisation/Company University of Cyprus Department KIOS Research and Innovation Center of Excellence Research Field Computer science Engineering » Electrical
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to: Develop mechanistic and data-driven models to analyse concentration–response relationships and biological readouts from advanced in vitro assays Apply statistical and computational methods to quantify