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innovating hardware-software co-design for privacy and integrity. Mentor undergraduate and graduate students in experimental design, data analysis, paper writing, and professional development; provide
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to ensure that the developed notations and algorithms address the companies’ needs. More about the related project can be found here: https://innovationsfonden.dk/da/news-article/ai-skal-forudsige-og-forklare
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: The development of computational models to represent structural performance using commercial and research software tools The development and validation of machine learning and artificial intelligence models focused
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developing, documenting, and maintaining opensource software related to this project. Further information on the research of Dr. Marios Kogias can be found at https://marioskogias.github.io/ . Research
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the employer. Our division provides world-leading research and education in the development of complex and software-intense systems and is characterized by extensive international cooperation as
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
machine learning and/or biomedical image processing. The ACM Lab is developing software to support AI-driven techniques to rapidly diagnose, track, and treat neurodisorders. The ideal candidate will have a
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develop and pursue a coherent research agenda The ability to develop a body of high-quality publications in scholarly journals with global impact Proficiency in statistical software packages, including R
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agenda The ability to develop a body of high-quality publications in scholarly journals with global impact Proficiency in statistical software packages, including R and SPSS, for large and complex data
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of Lincoln robotics team is working on a large project within the tomato breeding industry, aiming for the development of digital twins for optimising tomato production. The twin will feature realistic
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. The group will be contributing to the Physics Modeling (MC software, MC validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous