866 affective-computing-"https:"-"https:"-"https:" Postdoctoral positions in United States
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employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace
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large macromolecular assemblies carry out essential biological processes. These positions are supported by NIH (NIGMS/NCI) and DOE funding and offer the opportunity to work on high‑impact structural
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The Opportunity: Conduct research in Natural Language Processing (NLP), Computer Vision, and Artificial Intelligence (AI), with the goal of publishing in top-tier conferences such as CVPR, ICCV
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, distributions, and dynamics in metallic, oxide, and semiconducting systems. This project integrates high-throughput and in situ TEM experimentation with AI/ML-driven image analysis and computational modeling
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/LCA inputs. The role involves mentoring students, coordinating with collaborators/industry, and publishing in high-impact journals while supporting proposal development. Job Responsibilities: Design and
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to work collaboratively in a team setting Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type
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programming, interfacing hardware, and developing machine-learning methods highly desirable. The researcher will join an Argonne funded project with interdisciplinary team of material scientists, computer
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cadre of trainees at the Center including those supported by the NIH T32 AIPrN training program. The program is designed to train the next generation of scientists and build a workforce equipped with
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, recyclability, and reduced environmental impact in metal separation systems. (iv). Recycling, purification, and waste minimization strategies supporting circular-economy approaches for critical materials and
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a multidisciplinary research environment. Ability to promote the core values of Impact, Safety, Respect, Integrity, and Teamwork at Argonne National Laboratory. Please upload the following as