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Field
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background in numerical analysis, scientific computing, or a related area. 3) Demonstrate the ability to conduct original, high-quality research in computational methods, algorithm and software
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learning, applied mathematics, computer science, or a related field; Expertise in computational methods, data analysis, software and algorithm development, modeling, machine learning, high-performance
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across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and
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quality of life, support preventative medicine, and reduce healthcare burdens. Specific objectives include the development of wearable ultrasound imaging systems for doing cardiovascular echography, AI
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condensed matter physics, chemistry, applied mathematics, computer science, or a related field; Expertise in computational methods, data analysis, software and algorithm development, modeling, machine
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modelling and algorithm development. You may have a track record of successful, high quality, publications in journals (ranked 3 or 4 in the Chartered Association of Business Schools (CABS) Academic
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. CMSE centers around computational approaches, encompassing algorithm development, high-performance computing, scientific modeling, and data science. The department has an active research community
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analysis, deep learning methodology development, and clinical translation. The candidate will work closely with multidisciplinary collaborators, including clinicians, imaging scientists, and engineers
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biology, biomedical data science, or related analytical methodologies is highly desirable. Experience with software development, cloud computing, data engineering, algorithm design, or scalable
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Natural Science and the College of Engineering. CMSE centers around computational approaches, encompassing algorithm development, high-performance computing, scientific modeling, and data science