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available in the Computer Science department at Purdue University. The research focuses on developing algorithms for the analysis of time series data using quantum machine learning models, and
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, Computer Science, Computer Engineering, Chemistry, Biochemistry, or related scientific discipline Experience 1. Familiar with various cheminformatics, bioinformatics, data science, retrosynthesis algorithms
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-disciplinary hub connecting researchers in Electrical and Computer Engineering, Computer Science, Industrial Engineering, Artificial Intelligence, High-Performance Computing, and related areas to
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, Computer Science, Computational Biology, Bioinformatics, Cheminformatics, or related) with data science experience in biomedical domains. Experience Expertise analyzing large-scale and/or high
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related field, such as computer science, artificial intelligence, biomedical informatics, health data science, computational biology, biomedical engineering, biostatistics, or a related discipline 2
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scientists, informaticians, and data scientists Core Qualifications 1. Ph.D. or equivalent degree in a related field, such as bioinformatics, biomedical informatics, computer science, computational
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, including clinicians, biomedical scientists, informaticians, and data scientists Education Ph.D. or equivalent degree in a related field, such as bioinformatics, biomedical informatics, computer science
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. Preferred: Experience in writing at the intersection of rhetoric, writing, and computer science. Editorial experience a plus. Publications a plus. The successful applicant will be expected to have
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Sciences, Science and Technology Studies, or a closely related discipline. Preferred: Experience in writing at the intersection of rhetoric, writing, and computer science. Editorial experience a plus
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complex spectral data. Advanced computational and data-science methods, including modern ML/AI workflows for pattern recognition, clustering, anomaly detection, and inference in large and noisy datasets