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Field
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Description This postdoctoral position is part of the CPER RITEMA project (Hauts-de-France Region). It contributes to the scientific axes of “energy efficiency and optimization of consumption in mobility and
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methods to improve steel recycling and minimize the reliance on primary iron, by optimization of steel processing. Steel scrap is not a uniform material but a very diverse group of materials with widely
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will include: Establishing and optimizing cell culture protocols under sterile conditions (adherent or suspension eukaryotic cell lines). Designing, establishing protocols and conducting recombinant
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Mingzhao Liu and Charles Black. Your project will involve fundamental materials science and device physics investigations for applications in superconducting qubits. In this work, you will spend part of your
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based on performance and available support. Environment and Opportunities The lab focuses on developing AI methods to improve patient diagnosis, prognosis, treatment response prediction, and treatment
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and power converters. Our work spans from fundamental modelling and analysis to advanced control design and system optimization. Our specialty is developing embedded control, estimation, and
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STM systems, each optimized for ESR-STM experiments. As a postdoc, you will be responsible for the daily operation of the lab. Together with the dedicated technical staff, you will ensure
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team, we are deeply committed to advancing the field of health disparity research through patient-centered, community-informed approaches. Our work spans qualitative and quantitative methods, with a
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maintenance workflows. Explore the use of LLMs for anomaly detection, failure prediction, and optimization of maintenance schedules. Publish high-impact research in top-tier conferences and journals
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ranges. • Design and optimize HSI data-processing workflows, including spectral calibration, preprocessing, classification, and mapping. • Integrate HSI with complementary spectroscopic techniques (Macro