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transportation challenges and opportunities with innovation, objectivity, and unmatched technical expertise. Our staff delivers excellence, value and thought leadership to ensure our research sponsors achieve
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experimental parameters (time, temperature). To optimize these parameters, active learning techniques based on Bayesian optimization will be applied. In situ or ex situ characterizations (FTIR, ¹¹B/¹H NMR, HP
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. Prior exposure to experimental data from photon-counting or time-resolved detectors. Experience with Bayesian methods, uncertainty quantification, or real-time data processing. Familiarity with
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), and sustainable chemistry. In particular, the role will involve: (i) designing blockchain architectures and smart contracts for CO2 credit tracking, tokenisation of CO2 derived products; (ii
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on the willingness to fight. This postdoc position is part of the project “What are Citizens Prepared to Fight for? The Netherlands in Comparative Perspective”. The overall objective of the project is to gain a deeper
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at the intersection of blockchain, artificial intelligence (AI), and sustainable chemistry. In particular, the role will involve: (i) designing blockchain architectures and smart contracts for CO2 credit tracking
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Mediterranean Institute of Oceanography | Marseille, Provence Alpes Cote d Azur | France | 14 days ago
in laboratory experiments, data analysis, field work, and work as part of a project team that includes doctoral students and technical staff. The main objectives of this position is (1) to quantify
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Mobility Engineering, Marine Technology track) and also contributes to seafarer training. About the research project The postdoctoral research will focus on developing a digital twin ship simulation model
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accelerators. The main objective of the postdoctoral project is the design, optimization, and implementation of compact focusing optics and beam diagnostics tailored to the specific characteristics of electron
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learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In this role, you will