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knowledge of deep learning architectures and, in particular, Large Language Models (LLMs). Knowledge is valued both in advanced prompt engineering techniques (e.g. few-shot learning, chain-of-thought
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for spatial planning, and cumulative effects assessment (CEA) of offshore wind (OW). The role will focus on collecting, processing, and harmonising appropriate geospatial data, providing geospatial data
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, technologies, and capabilities. PharosAI unites large-scale multimodal cancer datasets with AI models through a highly-secure, trusted, federated platform, offering state-of-the-art AI tooling for use by pharma
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applications.; - Advanced knowledge of 3D modeling (3D modeling, UV mapping, texturing, polygon optimization). Minimum requirements: - Experience with the Unity game engine; - Experience in creating 3D models
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, you will gain significant knowledge and experience related to the modeling and analysis of weapons systems interactions with targets and the response and damage of targets to weapons effects. Where will
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complete application consists of: An application Transcripts – Click here for detailed information about acceptable transcripts A current resume/CV, including academic history, employment history, relevant
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@fas.harvard.edu. Application correspondence should include all of the following: a cover letter, a brief description of past research accomplishments and future research goals, a current CV, and contact information
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premises to develop scalable models for research delivery in the community - Work closely with academic partners and research networks to reduce barriers to commercial and academic research participation
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 17 hours ago
*Applications will be reviewed on a rolling-basis. FDA Office and Location: Ther are up to 14 fellowship opportunities currently available with the Center for Devices and Radiological Health
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the world. WORK PERFORMED Projects will be tailored to the successful applicant's scientific interests and career goals. Current areas of research include: Engineering next-generation Tregs using