40 parallel-computing-numerical-methods-"Simons-Foundation" Postdoctoral positions at Baylor College of Medicine
Sort by
Refine Your Search
-
a diverse team of biological and chemical scientists Experience with high performance computing environment (HPC) / cluster job submission Knowledge of statistical methods, data science algorithms
-
learning algorithms and creating predictive models. This role will contribute to evidence-based processes and procedures for program quality review and assessment of outcomes data as well as develop
-
– Friday, 8 a.m. – 5 p.m. Summary The Department of Pediatrics is seeking a Postdoctoral Associate. The applicant will develop methods to deconvolve RNA-seq data using references defined by scRNA-seq assays
-
high-throughput phytochemical extraction and mass-spectrometry methods for labeled and non-labeled crops. Other training experiences include statistically analyzing data and preparing manuscripts
-
Qualifications PhD in Computational Biology, Bioinformatics, or a related field (e.g. statistics, computer science, or quantitative biology). Experience in the application and development of computational methods
-
with robots, computers, especiallyzed software and stereomicroscopes in addition to the genetic and molecular biology benches. Job Duties Conducts genetic screens using Drosophila disease models
-
. The goal of the Training Program at the CNRC is to prepare Ph.D. and M.D. postdocs for biomedical research careers in nutrition that focus on pregnancy, lactation, infancy, childhood, and adolescence
-
qualitative/mixed-methods analysis. Collaborates with CHHAIN co-leads and faculty across Baylor and Rice on interdisciplinary scholarship. Coordinates project management tasks including timelines, deliverables
-
and research protocols to assure personal, lab safety, and research volunteer safety. Trainees participate in the established CNRC Postdoctoral Training Program which involves forming a mentoring
-
field (e.g. statistics, computer science, or quantitative biology). Experience in the application and development of computational methods/tools or machine learning algorithms. Good computer programming