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Field
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proficiency in the Julia programming language. ● Experience with CNS pharmacology and receptor-level pharmacodynamic modeling integrated within multiscale circuit frameworks. ● Prior contribution
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intelligent transportation systems (ITS), with an emphasis on developing and deploying state-of-the-art Large-Language Models (LLMs), Vision-Language Models (VLMs), and Vision-Language-Action (VLA) models
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, District of Columbia 20007, United States of America [map ] Subject Area: Linguistics / Computational Linguistics Appl Deadline: none (posted 2025/07/17 05:00 AM UnitedKingdomTime) Position Description
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the Large Language Models (LLMs). The successful candidate will work on pioneering research projects that push the boundaries of what AI can achieve, particularly in the domain of multimodal learning. You
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
Experience Applicants must have experience writing and modifying scientific code, performing data analysis or simulation workflows, and proficiency in at least one programming language such as Python, C, C
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at Cornell University is seeking a Postdoctoral Associate to advance research on maize and grass molecular diversity using genomic large language models (AI). The goal is to design nitrogen-efficient maize
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agents for X-ray spectroscopy by integrating large language models (LLMs) with physics-aware spectroscopy workflows. The researcher will work closely with a multidisciplinary team of X-ray physicists and
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opportunity to develop independent research projects aligned with the lab’s focus on the neural basis of language processing. This position offers a highly interdisciplinary environment for studying linguistic
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Posting Details Posting Details Posting Number S06888P Position Title Postdoctoral Research Associate Functional Title Department Speech Language Hearing Salary Range $63,000 - $65,000, DOQ Pay
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. Proficiency in code development of tensor networks or DMRG in MPS/MPO language to meet dynamic project demands. Demonstrated expertise in coding within HPC environments, with strong proficiency in reading and