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, molecular biology, bioinformatics, and advanced data analysis. Experience with single-cell transcriptomic analysis will be given high priority. Strong interests in both mechanistic and translational aspects
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the predetermined research scope and methodology. Within the predetermined research scope and methodology, conducts research experiments in the field of Nutrition Science. Collects and analyzes data that includes
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will have experience with bioinformatics and computational biology and will be able to guide and supervise the work of other staff and trainees in the lab. Postdoctoral Associate must have a solid
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associate to collect and analyze data, and report findings to the Principal Investigator (PI). Assists the Principal Investigator in maintaining and organizing the laboratory. Attends and presents preliminary
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experimental data using appropriate statistical and bioinformatic approaches. Develops and optimizes new experimental protocols and research methodologies. Prepares manuscripts for peer-reviewed journals and
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interested in pursuing an independent academic career are welcome to apply for this position. For more information: https://www.bcm.edu/people-search/ctirad-skoda-174296 Job Duties Designs, optimizes, and
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/Resume. Required Education and Experience PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field. Preferred Qualifications Strong publication record in top-tier AI
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development, and/or cancer cell biology would be an asset. Experience with large-scale genomic data would also be advantageous. Prior first author publications are highly desirable. Must be self-motivated, well
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for Postdoctoral Associates. Job Duties Plans, directs and conducts specialized and advanced research experiments. Evaluates and analyzes data. Establishes new research protocols and procedures. Summarizes research
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tools, especially with application in drug discovery. Experience with high performance computing environment (HPC) / cluster job submission. Knowledge of statistical methods, data science algorithms