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Field
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Type: Regular Work Shift: Sponsorship Available: No Institution Name: Division of Agriculture of the University of Arkansas The University of Arkansas System Division of Agriculture is a state wide
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administration. This PDA will focus on therapeutic applications of IPSCs and the means for improving their efficacy through process optimization in an automated cell culture platform. Protocols for scalable
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. Responsibilities: • Design and validate molecular assays, including evaluating performance metrics such as sensitivity, specificity, and reliability. • Perform nucleic acid extraction and quality control
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devices. Within this framework, LGP2 (Laboratoire de Génie des Procédés Papetiers – UMR CNRS 5518 / Grenoble INP – UGA) is in charge of a Work Package, dedicated to the formulation, processing, and printing
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. The project will involve drone optimizations, computer vision, closed-loop control, multi-modal sensor fusion, machine learning, and transfer learning methods. The candidate will also work in collaboration with
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. The ideal candidate holds a PhD in transport, operations research, civil engineering, or a related field, with strong skills in mathematical optimization and modelling (ideally in Python) and an interest in
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for high-performance infrared photodetectors and imaging systems. We invite applications for two postdoctoral positions focused on next-generation SWIR and room-temperature MWIR photodetectors based on III–V
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. - development of supported catalysts; - ink formulation and preparation of catalyst layers; - fabrication of optimized membrane-electrode assemblies and their testing in an electrolysis cell (performance and
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Analyzing the impact of battery chemistry, aging history, operational profiles, and pack architecture on second-life performance, safety, reliability, and lifetime using a Digital Twin. Developing
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
team of chemists, engineers, and materials scientists to identify sorbent properties, optimize formulations, and test operating conditions for separations. The candidate will also model system