913 development-"https:"-"https:"-"https:"-"UCL"-"UCL" Postdoctoral positions in United States
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Field
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Systems Modeling. This position focuses on leveraging and developing new equation learning methods, such as Physics-Informed Neural Networks (PINNs), Biologically Informed Neural Networks (BINNs), and
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part of PRECISE (Purdue Resources Empowering Coordinated Investigations for Sample Exploration), a NASA Planetary Science Enabling Facility. The position will include development of new laboratory
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groups. The successful candidate will play a central role in developing, implementing, and evaluating nutrition-focused methodologies across multiple projects. Key responsibilities include designing
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the development of microfabricated devices and integrated measurement systems from concept through validated laboratory demonstration for an exciting project on microneedle-array-based diagnostics. In this role
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, ultimately supporting the development of targeted therapeutics and precision medicines. Through a collaboration with the Stanford Cardiovascular Institute, the lab has access to one of the largest iPSC
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scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and theories. Develops advanced analytical models and systems and provides solutions and analyses to support
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and intervention development for over 15 years. We investigate interventions to prevent and eliminate human pathogens from hydroponic systems. Studies relevant to this opportunity aim to characterize
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Postdoctoral Associate to join a multidisciplinary research team focused on developing energy-efficient and fault-tolerant AI systems that can operate reliably in the radiation-rich environment of space. The
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the gathered data. It may also include development of research methodology as well as writing reports which contain descriptive, analytical, and evaluative content. Further, the candidate will assist in
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The Postdoctoral Research Associate will conduct advanced research in salinity gradient (“blue energy”) harvesting and vibration-based energy harvesting, focusing on developing next-generation self-powered sensing