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large scale datasets; Programming skills in Python and/or R; familiar with reproducible coding and automated (geospatial) data analysis; Familiarity or interest to dive into environmental or soil science
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-funded research project dedicated to experimental quantum foundations and indefinite causal order. • You will present your research plan to the faculty and complete a dissertation agreement within 12-18
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with programming languages such as Python, MATLAB, or similar, and are interested in combining analytical modelling with data-driven or AI-based approaches. You are self-driven, curious, and able to work
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background or strong interest in machine learning, graph theory, and their mathematical foundations. Solid programming skills Experience with machine learning libraries or willingness to acquire Excellent
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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 rules for thePhD education
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must have the following: • Master’s degree in physics or optics. • Excellent track of records. • Strong motivation, scientific curiosity, and commitment to scientific excellence. • Programming skills in
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of records. • Strong motivation, scientific curiosity, and commitment to scientific excellence. • Strong programming skills in MATLAB / Phyton • Team player skills and enthusiasm to work in a multi
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letters. Closing date Feburary 28th 2026 Successful candidates will be asked to send an application to the PhD Secretariat, Faculty of Health Sciences, to be enrolled as PhD students. The PhD programme will
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will also use these results to aid in the testing, evaluation and transition of technologies developed by government-funded research programs. Identify opportunities to apply AI to improve existing
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
are committed to fostering equity, diversity, and inclusion in our CDT program, and warmly encourage applications from students of all backgrounds, including those from underrepresented groups. We particularly