8 machine-learning-phd positions at University of Texas MD Anderson Cancer Center in United States
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, prevention, and education. Core to the success of our mission is the ability to orchestrate multidimensional data, data analytics, and machine learning to create sustainable impact within a framework of
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enthusiastic person to perform scRNASeq and Spatial Transcriptomics assays as well as willing to learn new technologies and participates in developing new platforms. The ideal candidate will have a background in
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cells). Work with standard in vitro transcription and translation kits Acquire training to run PacBio, MinION, 10x machines. Some procedures will require the use of hazardous and/or radioactive substrates
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research methods. Instruct and provide guidance to other staff in basic computational research techniques and procedures. Provide advanced bioinformatic, statistical and visualization support to ongoing
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to finalize project SOP and best practices Prepares data analysis and close out reports related to each project Contributes to the overall scientific management of CAR NK project Provides scientific input
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for learning. MD Anderson Cancer Center is a top-rated hospital in cancer care in the United States. The institute offers active graduate and postdoctoral training programs and the unmatched scientific
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Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field. Preferred: PhD degree in Biomedical Engineering
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of CAR NK project Provides scientific input, including assistance in the design of preclinical and translational research, interpretation of data and design of follow-up experiments, troubleshooting issues