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of artificial intelligence (AI) and biomedical engineering. Research directions include deep learning, natural language processing, brain–computer interfaces, and their applications in disease prediction, drug
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) to analyse the data by advanced statistical/chemometrics and machine learning tools, iv) to couple metabolome data with other omics datasets (e.g., genomics, lipidomics, metallomics, and others). Main target
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, and Bash Excellent communication skills You might also have Familiarity with modern machine learning, in particular large language models Experience with the design and implementation of web interfaces
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advanced statistical/chemometrics and machine learning tools, iv) to couple metabolome data with other omics datasets (e.g., genomics, lipidomics, metallomics, and others). Main target areas are drug
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. Interactions with the recently created Dubochet Center for Imaging are highly encouraged. One or two of the following research topics should be covered in the application: Machine Learning and AI-inspired
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family's wellbeing and allows you to be a part of the life of a vibrant and active college campus. To learn more, go to Baylor Benefits & Advantages. Explore & Engage Learn more about Baylor and our
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(EHR), health information exchanges, and data analysis software. Experience with health IT innovation, including working with artificial intelligence, machine learning, telemedicine, or mobile health
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biological samples' 3D structure and molecular identity. At iBIO, we bring together cutting-edge science from biology, chemistry, engineering, and computer applications. Our overarching aim is to obtain a
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to work within a team environment. Adaptability to a fast-paced, dynamic environment. Multitasking essential. To learn more and apply, please visit: https://careers.dana-farber.org
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-based learning, synthesis testing, and user testing. Actively promoting the integration of technology and industry, the Laboratory has taken the lead to establish a National Bio-manufacturing Innovation