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Field
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European ENERGETIC project, dedicated to developing the next generation of Battery Management Systems (BMS) to optimize the use of Li-ion batteries in both first life (mobility) and second life (stationary
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
is designed for candidates who have completed their PhD within the last two years and have experience as postdocs or industry researchers. This position offers a 12-month term with potential
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, Uncertainty, Data • SCOP: Reliability, Communication, Optimization • SyRI: Robotic Systems in Interaction The recruited person will join the SyRI team, working directly with the responsable. Recruitment takes
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organisms. This project is funded by an ARC Discovery Project 2026, where the research associate will focus on engineering encapsulin protein cages in cyanobacteria, with optimal carbon fixing designs to be
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-Doc will process large meteorological and emission datasets, prepare input data for the models, and contribute to scientific publications. Requirements: PhD degree in physics/mathematics
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to an ongoing project on the design and manufacturing of adaptive winglets using Shape Memory Alloys (SMAs) for aerospace applications. These smart winglets are designed to optimize aerodynamic performance by
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from estimation and optimization theory to hardware design. The specific topic of the project falls in the intersection of statistical signal processing and applied mathematics and is in particular
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dynamics, such as hidden Markov models or statistical jump models, affect the optimal decision-making process for an investor. Specifically, we aim to develop new methods for regime models, including
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, further information can be found at http://ki.se/en/meb We welcome applications for up to two full-time postdoctoral researchers to join our multi-disciplinary team focused on precision medicine in cardio
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fibrosis. Together with the department of surgery, focusing on vascular surgery, we aim to to ulitse high-throughput biomaterial screening to identify the optimal physicochemical surface properties