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The Center for Nanoscale Materials (CNM) at Argonne National Laboratory seeks an outstanding postdoctoral researcher to advance data-driven, physics-informed AI for microelectronics materials
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. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
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, and two to three references’ names and contact information. Applications must be received by March 9th, 2026. For more information, please visit our website at liaulab.com or contact the department
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contact information of at least 2 references The priority deadline is March 31, 2026, but all applications will be considered until the position is filled. Questions about the position can be addressed
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mentorship to advance skills in research project implementation and management, grant writing, and information dissemination needed for research faculty positions. This position will work across projects
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data, and coordination of good lab practices and lab safety. Required Qualifications PhD in the area of protein biochemistry, cell & molecular biology or closely related fields Experience and design of
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visiting scholars, foster intellectual exchange, and mentor talented graduate and undergraduate students. Opportunities to Contribute Research in theoretical high energy physics. Analyze data and publish
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Instructions Interested candidates should submit a cover letter, CV, a brief research proposal, and two to three references’ names and contact information. Applications will be reviewed on a rolling basis until
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the scope and impact of our studies. Current research themes include: The impact of GLP-1 receptor agonists on metabolic outcomes and surgical decision-making in bariatric patients Computer vision analysis
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. Responsibilities would involve close interaction with staff at IRFM, MIT and PPPL, including performing data analysis and interpretation for multiple transport-related topics, writing papers and making presentations