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Field
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design, prototyping, algorithm development and testing, manuscript preparation, mentoring, and lab management. The selected candidate may engage in other activities such as grant proposal development
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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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advancements in bioinformatics, AI, and clinical data analysis. Applies foundational knowledge of biostatistics and AI principles to inform study design and algorithm development. Tests, debugs, and validates
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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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. 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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monitoring. Treating ultrasonic RF data from wearable ultrasound devices using advanced beamforming techniques. Develop image reconstruction algorithm and investigate using time series ultrasound image
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comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures ( https://CGRlab.github.io/research/ ). About the research project We are open
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methods. Analyse large-scale MRI datasets and evaluate algorithm performance. Qualifications & Skills Education: PhD degree in Computer Science, Artificial Intelligence, Biomedical Engineering, Medical
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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