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(or equivalent) in Biomedical Engineering, or related field Strong skills in cloud computing (Azure) Experience with mobile app development (Android) Experience with cardiovascual sensor technologies Programming
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explored using scientific machine leaning. Machine learning, programming experience and a curious mind-set You are fascinated by how computers can learn from data and you have a strong interest in the
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developing enzyme-based approaches to unlock the full potential of lignin — one of nature’s most abundant, yet underutilized, biopolymers. The job As a Specialist, you will plan, execute, and interpret high
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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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stability, and computational efficiency. It is expected that the coding will be done with an open-source programming language. The field experiments have the aim of validating the modelling; they will involve
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in glaciology, Geodesy, Earth sciences, remote sensing, or a related field. Strong skills in data analysis, programming, and handling large geospatial datasets are essential. Experience with satellite
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research in Nanoscience and Nanotechnology. The center gives access to a broad range of infrastructure, tools and expertise including clean-room facilities. With a 5 year undergraduate nanotechnology program
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implementations Monitor and improve the numerical and high-performance capabilities of the code Qualifications PhD in computational plasma physics or similar Experience with GPU programming and high-performance
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
mission enabler programme under CORC, where other modelling activities will run in parallel to support and be supported by the findings of the digital twin solution. This innovative ambition is shared with
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mission enabler programme under CORC, where other modelling activities will run in parallel to support and be supported by the findings of the digital twin solution. This innovative ambition is shared with