Author: WeWorldMedia-admin

Open Rank in Neurotechnology

Published: 17 December 2025
Categories: Eng Jobs Academic Keys

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Candidates must have a demonstrated track record of high-impact research as evidenced by scholarly publications, and must exhibit strong potential (assistant rank) or an established record (associate rank) of extramural funding and teaching effectiveness. Applicants are expected to have a Ph.D., Sc.D., or M.D. with research experience in neural engineering or closely aligned areas. Evidence should be provided of accomplishments and experiences that have prepared the applicant for diverse constituents in research, teaching, and service. Candidates are expected to establish an independent extramurally supported research program, conduct collaborative research, be engaged in service activities, and teach engineering courses at the undergraduate and graduate levels.

Candidates with experience with clinical trials, entrepreneurship, and industry collaborations are especially encouraged to apply. We seek individuals who demonstrate exceptional potential for or evidence of leading a high-impact, world-class fully funded research program training Ph.D. students over decades. All

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NSF and partners invest $9M in AI-focused math education program

Published: 17 December 2025
Categories: National Science Foundation

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The U.S. National Science Foundation Directorate for Social, Behavioral, and Economic Sciences (NSF SBE) has launched the Collaboratory to Advance Mathematics Education and Learning (CAMEL), a new $9 million investment aimed at transforming K-12 mathematics learning and education. Supported through an agreement with philanthropic partners, including the Walton Family Foundation, CAMEL advances interdisciplinary collaboration that brings together artificial intelligence, the science of learning, education practice and data science.  

“CAMEL reflects NSF’s commitment to advancing the nation’s science and technology enterprise by strengthening mathematics education,” said Kaye Husbands Fealing, assistant director for NSF SBE. “The knowledge and skills supported through this program are essential for student success and for building a workforce prepared to lead in artificial intelligence, biotechnology, and quantum technologies.”  

CAMEL uses a two-phase approach to promote both innovation and long-term impact. Phase I supports the creation of new interdisciplinary research networks that generate or enhance high-value AI-ready datasets to advance understanding of K-12 mathematics learning. These networks must include experts in the basic science of learning, education practitioners, and data scientists.

Phase II of CAMEL, open only to Phase I awardees, establishes a national collaboratory, a socio-technical platform designed to build community, strengthen capacity and sustain collaboration beyond individual awards to sustain a united effort to advance math learning and education in K-12. This unique platform will synergize research efforts and

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Intent to restructure critical weather science infrastructure

Published: 17 December 2025
Categories: National Science Foundation

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The U.S. National Science Foundation (NSF) announced today that the agency is reviewing the structure of the research and observational capabilities operated by the NSF National Center for Atmospheric Research (NCAR). NSF remains committed to providing world-class infrastructure for weather modeling, space weather research and forecasting, and other critical functions. To do so, NSF will be engaging with partner agencies, the research community, and other interested parties to solicit feedback for rescoping the functions of the work currently performed by NCAR.

NSF will publish a Dear Colleague Letter that will inform the agency’s follow-on actions. Specifically, NSF will explore options to transfer stewardship of the NCAR-Wyoming Supercomputer to an appropriate operator; divest of or transfer the two NSF aircraft that NCAR manages and operates; and redefine the scope of modeling and forecasting research and operations to concentrate on needs such as seasonal weather prediction, severe storms, and space weather.

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