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Field
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, and strengthen national energy security. The Postdoctoral Appointee will contribute significantly to ongoing research efforts in resource valorization. Specifically, the candidate will optimize, and
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Postdoctoral Researcher positions to support its growing research portfolio in renewable energy-driven water production and condensation-based system optimization. The positions are designed for early-career
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at meetings A long-term interest in contributing to the overall mission of our research Additional qualities for this position include: Expertise with optimization, data science, and analytic techniques
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motivated post-doctoral associate (or research scientist for experienced candidates with 5 years of post-PhD experience). The candidate will work under the supervision of Future-GRID TecH director Dr. Mohamed
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community. Main Tasks and responsibilities: Collaborate with theoretical and experimental partners to design and characterize optimized altermagnetic devices for information processing. Fabricate nanodevices
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, to target the patient’s specific condition and obtain an optimal long term outcome. FEM coupled with Design of Experiment (DoE) will guide the design of miniplates. Ad-hoc tuning of published
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to joint research activities, publications, and surveys. Requirements PhD degree (or near completion) in robotics, control, machine learning, or a related field; Strong publication record demonstrating
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complex endometrial models and optimizing in vitro implantation assays. Culturing human embryos and generating stem cell-based embryo models. Tissue sectioning for advanced spatial transcriptomic analysis
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
the group of Dr. Eric Muir at the University of North Carolina at Chapel Hill in the Department of Radiology and the Biomedical Research Imaging Center. The successful candidate will develop and optimize
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the areas of Artificial Intelligence (AI) for materials science, with an emphasis on structure-property-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates