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deep learning, computational chemistry, medicinal chemistry, chemical biology, and molecular cell biology to develop novel therapeutics to tackle complex diseases such as cancers. Postdoctoral Associate
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, scientific image and sequence analysis, deep learning model development, benchmarking, real-time prediction and control, reproducible research software, and scientific communication. The position also
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Environmental and Occupational Health or Biomechanics. Preferred Qualifications 4 years or longer lab experience Strong programing skills Machine learning and deep learning modeling Expertise in 3-D
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Environmental and Occupational Health or Biomechanics. Preferred Qualifications 4 years or longer lab experience Strong programing skills Machine learning and deep learning modeling Expertise in 3-D
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management in 6G-enabled IIoT. He/she will be part of the research group that will develop, implement, and evaluate deep learning and reinforcement learning models for real-time anomaly detection and
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Ph.D. in Computational Biology, Bioinformatics, Computer Science or a related quantitative field. Strong background in machine learning and statistical modeling, with experience in deep learning
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components of the corn breeding program. This requires a Ph.D. with excellent knowledge and skills in drones / UAV / UAS data collection, processing, statistical analyses, AI (machine learning, deep
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components of the corn breeding program. This requires a Ph.D. with excellent knowledge and skills in drones / UAV / UAS data collection, processing, statistical analyses, AI (machine learning, deep
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Ph.D. in Computational Biology, Bioinformatics, Computer Science or a related quantitative field. Strong background in machine learning and statistical modeling, with experience in deep learning
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continuous awareness of emerging advancements in bioinformatics, deep learning architectures, and healthcare data science. Collaborates with data scientists, machine learning engineers, and clinical partners