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in fish, in accordance with project objectives, milestones and research strategy. 2. Design, optimise and conduct experimental studies using zebrafish, including controlled temperature acclimation
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, such as multi-objective optimization, model predictive control, mixed-integer optimization, stochastic optimization, energy management, or production scheduling. Good knowledge of integrated energy
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education leading to a PhD degree Conduct high-quality research within probabilistic design and infrastructure resilience Develop, implement and validate models that link hazard, structural vulnerability
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: to develop next-generation autonomous crop monitoring and decision-support systems for Controlled Environment Agriculture. By integrating plant sensing, data and crop models, we aim to enable more precise and
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, France to complete the project. Objectives The objective of this PhD project is to develop advanced numerical modelling tools to support the digital twins of refractory materials, with the aim
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-models, thereby avoiding double counting of effects, • developing and evaluating temporal machine-learning models for sequence-to-sequence prediction of fuel behaviour, • extending surrogate models
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of predictive models, and the safety effects of infrastructure or policy interventions. The precise research questions and balance between methods will be developed with the doctoral student in relation
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Potentials (MLIP), machine learning (ML) predictive models and AI tools. Activities : Computer science implying ML and AI tools applied to material science Where to apply Website https://umontpellier.nous
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, and traceability in accordance with the GDPR and the EU AI Act. Integrate predictive virtual biopsy models in distributed environments. Lead pilot experiments and monitor the convergence of federated
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. Where to apply Website https://www.academictransfer.com/en/jobs/364040/postdoc-position-controlling-sp… Requirements Additional Information Website for additional job details https