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international conferences, is an integral part of the job. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree in
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. These tools will be integrated with physics-based models of environmental loading (waves and wind) to enhance the accuracy and robustness of the assessment. All components assembled together will finally inform
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for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms
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defects and trapped charges Thermochronometry and rock surface dating You will be part of the dynamic and interdisciplinary LUMIN team, which includes engineers, scientists, postdocs, and PhD students
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techniques in enzyme kinetics and structure-function analysis Contribute to pioneering research in the green transition and circular economy Be part of a vibrant international research community with excellent
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of Energy Conversion and Storage (DTU Energy) focuses on research and development of functional materials, components, and systems for sustainable energy technologies. The technologies include fuel cells
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at the cutting edge of sustainable materials design, chemical hazard assessment and microplastic pollution. This PhD opportunity is part of the EU-funded UPCYCLE project, which aims to transform non-recyclable
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and photon indistinguishability towards unity. The primary responsibilities of the PhD students include: Employ numerical simulation techniques based on Fourier Modal Method and the Finite Element
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and scheduling. In the furthermore, core works are envisioned in initiating novel VLE design using foundational Digital Twin for Construction Safey (DTCS) components (e.g., city models, nD BIM, IoT