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Field
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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
. To that aim, both Stein-based bilevel optimization, empirical Bayesian and unsupervised deep learning approaches will be considered. The recruited postdoc researcher will tackle both implementation challenges
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space-based astronomical image slicing spectrograph. The goal is to create and apply a 'digital twin' of the as-built system to simulate and optimize its performance. Key responsibilities include
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processors. The candidates will contribute to topics including: The offline and online calibration of learning systems through methods such as conformal prediction, hyperparameter optimization, and reliable
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, cold chain logistics, and sustainable packaging systems, addressing critical challenges in product protection, supply chain optimization, and distribution system efficiency. We seek a highly motivated
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data, including biomedicine and drug discovery. The position gives excellent opportunities in publishing in high-quality forums. We expect the applicants to have a PhD degree (or close to completing one
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and optimization of the process. Comminucation with partners. Dissemination activities and reporting. Supervise master’s and/or PhD students to a certain extent Possibility to engage in teaching at
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the most informative polarimetric parameters and optimal wavelengths for detecting abiotic stress. This approach will contribute to more accurate digital phenotyping, supporting sustainable crop monitoring
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. The group will be contributing to the Physics Modeling (MC software, MC validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous
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assessment of CCUS value chains Reactor design, optimization, and sizing using phenomenological and/or CFD methods DFT and Molecular modelling linked to CCUS Strong analytical and problem-solving skills, with
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(or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs. The candidate will apply