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to apply and further develop their technical skills in a dynamic research environment. The successful candidate will have the opportunity to work closely with our engineers and other research staff. Projects
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, with appropriate research experience in quantitative biology, (bio)physics, (bio)engineering or related Engineering and Physical sciences disciplines, and a solid publication record. Princeton University
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The Department of Electrical and Computer Engineering has opening for postdoctoral research positions in the following fields: 1. Microfluidic and Lab-on-Chip development in a multidisciplinary lab
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engineering. We seek candidates with an interest in participating in large multi-PI grants and with collaborative research experiences, experience writing proposals for user-facilities, and/or experience
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collaborate with the ARG team on developing grant proposals. Qualifications Required qualifications: Doctoral degree in a related field, such as Computer Science, Robotics, Civil Engineering, Architecture, etc
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the ultimate goal of enhancing their efficiency, resilience, and adaptability. Qualifications: The ideal candidate for this position will hold a Ph.D. in Network Science, Applied Mathematics, Civil Engineering
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Artificial Intelligence (AI)/Machine Learning tools, OR a PhD in AI/Machine Learning with experience in plasma physics or other strongly coupled physical systems. Associated research and software engineering
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, understanding, or engineering of large AI models, or their applications in science and engineering. Applicants may also be interested in the Natural and Artificial Minds initiative, which is also seeking
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, biological engineering, or a related field. To apply online, please visit https://puwebp.princeton.edu/AcadHire/position/35542and submit CV and cover letter. Cover letter should highlight 1-3 publications
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improve AI systems. Candidates should have recently received or are about to receive a Ph.D. or doctorate degree and have a strong interest and track record in designing, understanding, or engineering of AI