-
, genomics, cell and developmental biology, molecular biology, and bioinformatics. Candidates must provide evidence of research excellence which can be demonstrated through a record of publications in top
-
clusters, GPU-enabled systems, job schedulers (e.g., Slurm), and parallel computing workflows supporting simulations, bioinformatics, machine learning, or large-scale data analysis Experience managing
-
manipulation, and disease modeling. This course also introduces the bioinformatics concepts and methods used in biological data analysis. Estimated course enrollment: ~ 30 students Estimated TA support: 1 TA
-
creating a hiring strategy. QUALIFICATIONS REQUIRED: EDUCATION: Post Graduate Degree in statistical sciences, biostatistics, computer science, computational biology, bioinformatics, data science