-
(AI) and machine learning (ML) methodologies. The position involves annotating clinical data, collaborating with AI/ML/NLP teams, developing algorithms, and generating insights to improve patient care
-
(AI) and machine learning (ML) methodologies. The position involves annotating clinical data, collaborating with AI/ML/NLP teams, developing algorithms, and generating insights to improve patient care
-
therapeutic targets. Develops and applies machine learning and statistical modeling approaches for biomarker discovery, classification, prediction, and patient stratification. Develops algorithms and
-
). Experience in the application and development of computational methods/tools or machine learning algorithms. Good computer programming skills in R/Matlab/PerlPython. Knowledge of basic molecular biology
-
The University of Texas MD Anderson Cancer Center | Houston, Texas | United States | about 1 month ago
cancers (Dentro et al., Cell 2021), the evolutionary history of cancer (Gerstung et al., Nature 2020), biallelic mutations in cancer genomes (Demeulemeester et al., Nature Genetics 2022), combined DNA
-
Biology is desirable. Experience in the application and development of computational methods/tools or machine learning algorithms. Good computer programming skills in R/Matlab/PerlPython. Baylor College
-
-seq, single-cell RNA-seq, and spatial data) and experience in multi-omics data integration. Has the ability to develop algorithms and code for innovative multi-omics data analysis. Baylor College
-
tools, especially with application in drug discovery. Experience with high performance computing environment (HPC) / cluster job submission. Knowledge of statistical methods, data science algorithms