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in computer science education and/or AI in education Produce high-impact scholarly publications in peer-reviewed journals and top-tier national conferences Secure and contribute to external research
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international doctoral training programme coordinated by Lund Stem Cell Center atLund University and delivered in partnership with Leiden University Medical Center, Hannover Medical School, and the Technical
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Systems (S3D) department within the School of Computer Science explores the vital intersection of the confluence of software, systems and society to understand how computational biology might better serve
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A1096 Working Title PhD - Research Assistant - Computer Science Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer
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background in Computational Biology/Genetics/Genomics/Bioinformatics/Molecular Biology. Candidates with expertise in applying AI/ML to high-throughput omics data, processing, and curating large-scale omics
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implementation of data quality assurance plans. · Perform day-to-day oversight in program evaluation and primary data collection activities, including large survey mailing, face-to-face and telephone
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computational methods and scalable pipelines to decode noncoding RNAs and their epigenetic modifications from diverse high-throughput sequencing data, including bulk, single-cell, and long-read sequencing data
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initially be for one year, renewable for additional years following performance review and funding availability. Basic Qualifications Ph.D. in computer science, applied physics, applied math, or a related
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contribute to the excellence of our department’s teaching and research program. Candidates working in any area of European history are encouraged to apply. The successful applicant will contribute
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the university and with industry to translate discoveries into clinical proof of concept studies. Working with a team led by Drs. H. Kim Lyerly, Zachary Hartman and Josh Snyder, this program spans basic discovery