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produce new knowledge based on high-standards research and provide research based education to build a more sustainable, smarter, and more humane world. The University of Oulu community has about 17,000
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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Montpellier, Languedoc Roussillon | France | about 2 months ago
networks, remote sensing, ad-hoc experiments in controlled conditions or in the field) with crop modelling (to improve biological interpretability) to produce knowledge and laws of responses to extreme and
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students at all levels (BSc, MSc, and PhD) and be an inspiration and a role model for our young scientists. Your contributions to our research-based education and innovation will assist DTU in educating
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mission data, including AI, analytics and digital twins; new ways to define and model systems, such as model-based system engineering; supervision of on-board autonomy featuring AI, in relation
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removal Waste removal and litter picking Event/traffic control setups, loading and unloading of trucks Other duties as assigned Job Requirements: The candidate will be required to work 1 weekend day
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efficiency, sustainability, and environmental health. Indoor Air Quality: One of the core research areas of our lab is indoor environmental quality, particularly control, and mitigation of building occupants
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(“overparameterized”) machine learning models, like probabilistic graphical models, deep neural networks, diffusion models, transformers, e.g. large language models, etc. SLT is based on the geometrical understanding
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their application in studies on the capture and controlled delivery of biomolecules. Legislation and regulations: Law Nº. 40/2004, of 18th August, in its current wording (Statutes of Scientific Research Fellow) and
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emphasizes applied software development while spanning domains such as robotics, computer vision, sensing, controls, data analysis, and embedded systems. The engineer will work on interdisciplinary projects
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into reliable information about structural and aerodynamic behaviour remains a challenge. The PhD will develop data-driven methods that combine measurements, physics-based models, and machine learning to extract