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Polytechnique de Toulouse (INPT). The PhD student will be part of a group of largely modelling PhD students all trying to make computational fluid dynamics modelling more sustainable in a comprehensive sense
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data analysis, statistical modelling, machine learning, life-cycle cost analysis, risk analysis or operations research The appointment is to be made in accordance with NTNUs guidelines for recruitment
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in one or more of the following: railway engineering, infrastructure maintenance, rolling stock, condition monitoring, sensor data analysis, statistical modelling, machine learning, life-cycle cost
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PhD in Computational Simulations of Turbulent Reaction Flows for Clean Energy and Sustainable Propul
the preparation of a doctorate, contains: Research: The FLOW research group is a young, dynamic group working in the fields of thermodynamics, fluid mechanics, and data-driven modelling. At the Department
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, salaried, four-year PhD position exploring the extent to which enforcement competition law differs between State-owned enterprises and private undertakings. This interdisciplinary project follows a mixed
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); using GenAI, for instance Large Language Models (LLMs) for the extraction and analysis of data as part of health research. Our offer a position for 18 months, with an extension to a total of four years
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2026 Apply now Utrecht University School of Law invites applications for a fully funded, salaried, four-year PhD position exploring the extent to which enforcement competition law differs between State
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a wild, non-model plant species. Your job To face climate change and other environmental challenges, the capacity for rapid adaptation is crucial for both natural plant populations and crops
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datasets with different configurations (e.g., number of channels, sampling frequency and resolution). To leverage large-scale self-supervised learning to train models on unlabeled EEG data, reducing reliance
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 2 months ago
alternative mechanisms and distributed compliance. This PhD thesis aims to propose, model, and compare different mechatronic propositions through both simulation-based evaluation and experimental calibration