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remains one of the central challenges in plant biology. If you are passionate about applying deep learning to decode the regulatory grammar of plant genomes and translating predictions into testable
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experience with the PyTorch library and running deep learning models. The successful candidate will work closely with a team of researchers and faculty members in the ClinicalNLP lab led by Dr. Hua Xu
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School of Medicine and Health, we are seeking an outstanding PhD student (f/m/d) to advance the theoretical and methodological foundations of medical deep learning. The project focuses on novel self
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excellent infrastructure for deep learning, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing
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infrastructure for deep learning, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure
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and deep learning to engineering or physical systems. Strong scientific programming skills in Python , with experience in C++, MATLAB, or similar languages desirable . Experience with a deep learning
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. Experience of applying machine learning and deep learning to engineering or physical systems. Strong scientific programming skills in Python , with experience in C++, MATLAB, or similar languages
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electronic health record (EHR) data; apply ML methods (especially deep learning methods) to solve critical medical problems. Implement methods into software that meets research needs, manage and update
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electronic health record (EHR) data; apply ML methods (especially deep learning methods) to solve critical medical problems. Implement methods into software that meets research needs, manage and update
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Position Description An Associate in Research position is available in the Interpretable Machine Learning Lab ( https://users.cs.duke.edu/~cynthia/home.html ) for a scientific developer to work in