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with colleagues at DTU and IIT Bombay, as well as with academic and industrial partners globally. The main purpose of this PhD position is to develop, implement and assess machine learning models
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College Dublin, Ireland and Northeastern University, USA. Responsibilities The PhD project involves developing a flexible vegetation model within the OpenFOAM platform, where vegetation stems
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system management, especially around data quality, metadata governance, and the integration of machine data for long-term monitoring. Through a hybrid approach combining physical models and machine
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simulation framework to model the coupled USV-UUV system, enabling safe experimentation before field deployment. Field validation: Conducting field experiments (e.g. in a harbor and offshore test site) where
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control, open-source background checks may be conducted on qualified candidates for the position. DTU Chemistry is a leading chemistry department with 28 faculty, 30 postdocs, and 55 PhD students
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on qualified candidates for the position. DTU Chemistry is a leading chemistry department with 28 faculty, 30 postdocs, and 55 PhD students. The Organic Chemistry Section consists of 9 research groups spanning
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information may be obtained from Associate Professor Fatemeh Ajalloueian, faaj@dtu.dk , and Postdoc Gohar Soufi, gohsoo@dtu.dk . You can read more about DTU Health Tech at www.healthtech.dtu.dk . If you are
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, evaluating, and fine-tuning machine learning models (e.g. deep neural networks) to segment underwater scenes and classify anomalies. The work will explore the use of virtual environments and synthetic datasets
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background in Computer Science, Informatics Engineering, Mathematical Modeling, Computational Urban Science, Transport Modeling or equivalent, or a similar degree with an academic level equivalent to a two
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at around the time of implantation. To achieve this, the group utilises both in vivo mouse models as well as in vitro human stem cell culture systems and state-of-the-art ultrasensitive transcriptomic