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Field
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₂ emissions reduction strategies within the supply chain. Design and implementation of an integrated and sustainable logistics architecture. Monitor technological and methodological innovations in the industry
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collaborations at both European and international levels. Context Recent advances in computational mass spectrometry-based metabolomics have unleashed a massive amount of chemical knowledge from metabolomics
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
analysis for monitoring disease progression and treatment outcomes. Key Responsibilities: Develop and implement AI/ML pipelines for feature selection, dimensionality reduction, and predictive modeling using
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developing large language models. Experience in DNA and protein AI/ML models and multimodal datasets. Knowledge in different deep learning architectures, tokenization and embedding methods. Experience in
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energy, resource efficiency, and waste reduction. The candidate must hold a PhD in Urban or Rural Development, Civil Engineering or related domain. The candidate is expected to have hands-on experience in
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of GPP (gross primary production) to a nutritional stress for K (Cornut et al., 2022) The overall objective of this postdoc project is to improve our knowledge of nutritional dynamics in forest ecosystems
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cardiac/myocardial ablation. The clinical applications investigated will include ventricular tachycardia and hypertrophic cardiomyopathy septal reduction therapy. Opportunities will be available
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. One project evaluates the impacts of urban civilian safety practitioners using AI-driven multimodal sensing to understand mechanisms of de-escalation and disorder reduction in San Francisco, CA. A
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, or electrochemical CO2 reduction. To do so, the preparation of novel catalyst materials is of pressing concern. You will continue our research line around the preparation of novel catalysts based on mixed metal alloys
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-performance computing. It aims to improve the performance of the matrix-free finite-element-based framework HyTeG, in particular by techniques for data reduction through surrogate operators. Furthermore, we aim