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The Materials Design Lab, led by Professor Jae Chul Kim in the Department of Chemical Engineering and Materials Science (CEMS), invites applications for a Postdoctoral Researcher position in the field of electrochemical energy storage systems. The successful candidate will conduct original and innovative research focusing on:

This full-time position is available starting May 19, 2025, or later, and is suited for a highly motivated researcher aiming to thrive in a dynamic and fast-paced research environment.

Duties and Responsibilities

Perform research and development of advanced materials for energy storage applications.

Lead experiments in battery fabrication and electrochemical testing.

Conduct atomic-scale analysis of materials using electron microscopy and, when applicable, synchrotron-based techniques.

Analyze electrochemical, spectroscopic, and scattering data from in-house and national lab beamline facilities.

Collaborate closely with graduate students and other research staff.

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RSS Feed Source: Academic Keys

Research Engineer (Using a Sandbox Game for Introductory Programming in Higher Education) (OD)

Job no: 498930
Department: SIT Teaching & Learning Academy
Contract type: Contract
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The Research Engineer will support the implementation of a MOE-funded study investigating the use of a Commercial-Off-The-Shelf (COTS) game, Space Engineers, in enhancing programming education through digital game-based learning (DGBL). This role contributes directly to the project’s goals by modifying the game to suit educational objectives, developing learning scenarios, supporting data collection and analysis, and disseminating research outcomes to advance technology-enhanced pedagogy in higher education. This is a 2-year funded part-time position (3 days work) (preferred)

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RSS Feed Source: Academic Keys

An interdisciplinary team of researchers funded by the U.S. National Science Foundation has created a teacher-driven curriculum called Shark AI. This optional online program introduces Florida middle school teachers and students to artificial intelligence through the science of paleontology. With Shark AI, science teachers learn how to incorporate AI and machine learning concepts into their classrooms to help their students build essential skills and prepare for 21st-century STEM careers.

“Most K-12 AI learning occurs with computer science standards and learning goals,” said Bruce MacFadden, University of Florida (UF) distinguished professor and principal investigator (PI) on the project. Shark AI takes a novel approach by using AI to teach concepts that are connected to biology, paleontology and the nature of science, while at the same time connecting to computer science education goals as well,” he said.

Image showing the Google Teachable Machine model built to identify fossils. Students use this free, online machine learning tool to create their own models to classify fossil shark teeth.

Developed with and for teachers, Shark AI is a free, optional online curriculum with five flexible modules — all aligned with middle school science standards — that teachers can choose to integrate into their instruction plans. The lessons aim to demystify AI by teaching students about data collection and

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