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Field
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years Required Related Experience Track record of scientific publications Required License/Registration/Certification N/A Physical Requirements Sitting at computer work station for long periods of time
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Infrastructure Computer Vision Data Analytics for the Built Environment You should possess: A completed PhD in a relevant discipline. Strong research expertise in digital engineering and built environment research
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The SDU Adaptive Intelligence Lab (ADIN Lab) (https://adinlab.github.io/ ) located under the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA
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learning and artificial intelligence Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field First-author peer-reviewed published papers (or under
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Yip and Dr. Nikolay Atanasov (Department of Electrical and Computer Engineering), and will also collaborate with co-investigators at Stanford University, UC Santa Barbara, Vanderbilt University, UNC
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Learning (ML), Deep Learning (DL) particularly in Natural Language Processing (NLP) and Computer Vision (CV) - strong record of publications - Excellent communication skills and ability to work in a fast
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biology and offer training in human histology, statistics, omics data analysis, computer vision, grant writing, and scientific publishing. Required Qualifications: 1. A doctoral degree (PhD, MD
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. Danish health insurance. Start-up money for running costs (fixed amount). Travel funds for you to present your work at scientific conferences. Computer and other practical office necessities. Guidance
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deployment of AI systems in real-world environments. Current research activities focus on topics such as: AI agents and computer-use agents Security, robustness, and trustworthiness of AI systems Evaluation
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techniques; large data processing and high performance computing; advanced causal inference and statistics; computer vision and novel applications of machine learning. Advanced knowledge of R or Python is