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This PhD project is part of a larger project that aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain
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processing to work on research in personalized behavioral health. The successful applicant will collaborate with an interdisciplinary team to develop software and computational models that leverage data from
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software development from the analytical and methodological perspective of an engineer. Students build advanced design and engineering skills, enhance their knowledge in cloud computing, and develop machine
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Mosalaganti and Dr. Herman Fung at the Life Sciences Institute (LSI) are looking for an Artificial Intelligence and Machine Learning (AI/ML) scientist to develop advanced computer vision workflows to support
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algorithm Maintain a lab notebook of raw data and organize data for analysis by senior lab members Keep detailed records Qualifications Bachelor’s degree in Biology, Neuroscience, Psychology, Biology
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quality control, machine learning, computer vision, systems/entity identification and recognition, and algorithm development. Demonstrated experience in leading RDT&E teams. Preferred Qualifications
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record of interdisciplinary research, innovative pedagogy, and relevant teaching experience in music industry/business and intersecting technical areas such as algorithm development, artificial
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meetings and read literature applicable to the research area Analyze data using standard and machine learning algorithm Maintain a lab notebook of raw data and organize data for analysis by senior lab
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like computational complexity of algorithms. It’s also fairly common that we need to drill down into the code for some tool to figure out what’s wrong, so being able to read and understand code is
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The »Q uantum Computing« team at the Fraunhofer Institute for Industrial Engineering Engineering IAO is looking for motivated talents who want to work at the interface of artificial intelligence