The page you were trying to view does not exists or may have expired. Below are the list of similar positions in our database.
Similar Posts
-
, Competencies, and Experience Experience in biostatistics and machine learning. Preferred Qualifications, Competencies, and Experience Excellent communication skills. Special Physical/Mental Requirements Special
-
statistical and machine learning methods for high-dimensional and longitudinal biomedical data. Scientific questions of interest include exploring the (causal) associations between omics data, clinical
-
to date; Dr. Michael Kosorok, Kenan Distinguished Professor of Biostatistics and a leading expert in data science, biostatistics, and machine learning; and Dr. Teeranan Pokaprakarn, Assistant Professor who
-
. networking opportunities and funding for conference travels. Responsibilities may include: Biostatistical analyses, including both classical statistical models and innovative machine learning models. Advancing
-
strong background in bioinformatics, such as statistical, machine learning and AI methods for immuno-oncology, single cell, spatial, and multi-omics. This new faculty member is expected to work
-
-track Assistant or tenured Associate Professor position with strong background in bioinformatics, such as statistical, machine learning and AI methods for immuno-oncology, single cell, spatial, and multi
-
, experimental studies (in vitro and in vivo), and advanced multiomics data science. We are looking for candidates with expertise or interest in environmental health, biostatistics, and data science, especially as
-
://biostat.ufl.edu/ ) is accepting applications for a fully-funded postdoctoral associate position. This position, available immediately, focuses on developing statistical, machine learning and deep learning methods
-
and professional disciplines, students, faculty, and staff from diverse backgrounds come together to learn, create, and break boundaries. The University is also a vital part of the community, providing
-
methodologies, spanning from computational biology to statistical genetics to machine learning and artificial intelligence. Applicants must have a Ph.D., M.D. or M.D./Ph.D. degree. The Institute for Biomedical