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harvesting and cooling. Degree: PhD in one of the following fields (or similar): Materials Science and Engineering, Chemical Engineering, Electrical Engineering, Nanoscience and Nanoengineering, or Applied
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, is under threat from growing reliance on artificial intelligence (AI) technology. While designed to assist, AI recommendations may inadvertently impede cognitive reasoning and steer decision-making
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Experience Requirements A PhD in Mathematics, Applied Mathematics, Computer Science, Biomedical Engineering, Mechanical Engineering, or a closely related field by the start date. Required Qualifications
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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. Position Requirements A formal education in materials science and engineering, nuclear engineering, or a related field at the PhD level with zero to five years of employment experience. Knowledge of metallic
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biologic drug development - Tissue engineering and regenerative medicine - Translational studies utilizing human and animal tissues Successful candidates will possess experience with one or more of the
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chemical engineering, physical chemistry, materials science, or a closely related field. You have hands-on experience with building experimental setups, ideally involving flow synthesis and experimental
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for children and families. Job Requirements REQUIRED: PhD in economics, education, public policy, political science, computer science, or a related field; a demonstrated track record of conducting research in
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Participation in a research stay of up to three months at a collaborating university in Finland Requirements: PhD degree in Chemistry, Chemical Engineering, Materials Science, Metallurgical Engineering, Chemical
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Semiconductor Manufacturing and Research Technology Innovation Corridor (NY SMART I-Corridor) Tech Hub initiative, the Center for Supply Chain Analytics leads the Supply Chain Activation Network (SCAN) project