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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 5 days ago
(Verhaeghe 2021); or even functional test migrations (Hlad and Verhaeghe 2025). Challenges The objective of this thesis is to extract and model the control and data flows observed during the execution of a
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, and machine learning models for functional genomics research in mycobacteria. Responsibilities Responsibilities include: Develop and maintain Django-based web applications and databases for sharing
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, or at a specific controlled test-site such as NLR’s (MITC) “DigiCity” urban city mock-up initiative, or a similar initiative near Schiphol Airport. As for the subjective comparison, VR experiences based
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predictive control, optimization-based decision frameworks, and data-driven performance modelling. The overall goal is to develop computational methods that enable efficient and intelligent operation of wind
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, and machine learning models for functional genomics research in mycobacteria. Responsibilities Responsibilities include: Develop and maintain Django-based web applications and databases for sharing
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-based techniques (e.g., deep neural networks) will be used to automatically learn the system dynamics and the modelling errors, as well as to obtain an automatic tuning of the cost parameters/constraints
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behaviours of multi-agent systems in response to changing internal states and external environmental conditions. Both traditional model-based approaches and modern learning-based control techniques will be
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of both physics-based and measurement-based models, as well as validation against experimental data. The models will be used to analyze how different design choices affect electromagnetic compatibility (EMC
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Université Paris-Saclay GS Life Sciences and Health | Fontenay aux Roses, le de France | France | 10 days ago
. We have also developed highly accurate structural models of control protein complexes in association with Rad51 filaments. We will use a multidisciplinary approach based on genetics, molecular biology
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theory, modeling, and AI-assisted optimization activities within the consortium. Reporting and dissemination of the results. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1074