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conceptual framework linking nanoscale features to macroscopic adsorption efficiency. Generate and curate high-quality datasets to support data-driven materials optimization and future integration with AI
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scientific backgrounds, including electrical engineering, industrial engineering, operations research, data science, and applied mathematics. Many of our former students are now successful scientists in both
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environments Contribute to the design, implementation and testing of a novel AUV concept Carry out experimental work with AUVs in real marine environments for data collection and validation of developed
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the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's
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The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the
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Job Description If you are passionate about marine technology, data analytics, and ecosystem research, we have an opportunity for you! DTU Aqua invites applications for a PhD position focused on
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. Responsibilities The role in AM2PM, an EU funded research project, involves conducting innovative theoretical and experimental research in Building Information Modeling (BIM), Digital Twin Construction (DTC
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learning approaches and develop a theoretical understanding potentially based on differential geometry. In particular, deep neural networks perform surprisingly well on unseen data, a phenomenon known as
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the MSCA Doctoral Network CoDeF, with four of the PhD positions located in and around Copenhagen. More information on the CoDeF training network can be found here . Your main supervisor will be Professor
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Job Description We are seeking a talented and highly motivated PhD student to work in the field of transient astrophysics with a special focus on large transient surveys in the era of big data