41 developer-"https:"-"https:"-"https:"-"https:"-"https:"-"INSA-RENNES" PhD positions in Denmark
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, you will work at the intersection of polymer processing, materials science and Machine Learning to develop dynamic recipes for sustainable plastics. In a typical plastics production line, several types
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to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants. The application must be submitted via Aarhus University’s recruitment system, which can be accessed
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be to develop wireless sensing and communication methods that are designed together with AI-based inference, rather than treating connectivity as a separate layer. Particular attention will be given
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of the position will be in developing new techniques for testing and verifying modern highly concurrent systems, such as weak-memory architectures and highly-distributed databases. The position is also open, to
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addresses one of the most pressing challenges facing contemporary port ecosystems: how ports can develop new strategic roles in support of the green transition. The project will explore how ports move beyond
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Professor Aldo Faisal from Imperial College London involved as international project partner. Research objectives and tasks You will contribute to the development and empirical validation of models
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observational data, climate model output and regional ocean modelling. Develop and apply a high-resolution hydrodynamic CROCO model, linking model output to the FlexSem model for modelling carbon transport
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system configurations, experimental setups and operational data. The scientific ambition is to develop methods that combine physical models and data-driven approaches for adaptive, real-time operation of
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individuals differ in their susceptibility to dysglycemia, type 2 diabetes, and related complications. A central goal of the group is to move beyond traditional disease classifications and develop a mechanistic
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, statistics, data science, and public health. The goal is to develop new methods that allow researchers to learn from sensitive health data without compromising individual privacy. Using unique, nationwide