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of code to utilize GPU-acceleration on DTU’s high-performance computing cluster or other HPC systems. You will also analyze realistic physical implementations of the architectures you explore, with a
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with respect to high level research, training and innovation within manufacturing engineering, in an exciting combination of academic and industrial environments. The selected candidate will receive
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instrumentation. A dynamic, international research environment at the forefront of materials characterization and environmental innovation. A unique opportunity to contribute to a high-impact project addressing
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is to develop a low-power, privacy-preserving Internet of Things system that supports caregivers in delivering high-quality, home-based care for elderly individuals. The project focuses on developing
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renewable power system dynamics. Collaborate with experts from DTU and IIT Bombay, gain hands-on experience with advanced simulation tools, and contribute to high-impact publications. Enhance your
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. You will draw on ideas from Bayesian optimization and Bayesian deep learning, generative modelling, high throughput screening, and combinatorial synthetic chemistry. Responsibilities and qualifications
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for effective tool wear management. This position offers unique opportunities with respect to high level research, training and innovation within manufacturing engineering, in an exciting combination of academic
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characterize the toxicological and chemical profile of emerging pollutants in our drinking water. To achieve this you will: Develop novel sample preparation and high-resolution mass spectrometry workflows
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intelligence. This PhD project will leverage the power of field-programmable gate arrays (FPGA) to deploy machine learning models on the edge with low latency and high energy efficiency. This added intelligence
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of conventional fossil fuels. Solid oxide electrolysis cell (SOEC) is one of several different electrolysis technologies, which holds merit in terms of high efficiency and potential to reach low cost. For SOEC