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
-
from these studies. The Associate should have experience in engineering and the sciences; particularly bioinformatics, molecular biology, and/or microfluidics. key words Bioinformatics; Biostatistics
-
. in epidemiology, biostatistics, bioinformatics, or a related quantitative field, with previous experience in analyzing large-scale omics data and strong programming skills in R / Bioconductor or Python
-
Classification Title: Postdoctoral Associate Job Description: Dr. Li Chen's laboratory (https://lichen-lab.github.io/) at the University of Florida's Department of Biostatistics (https
-
are welcomed. Candidates should have a Ph.D. (or equivalent qualification) in genetics, epidemiology, biostatistics, computer science, bioinformatics, computational biology, or a related field. Proficiency in
-
About the role A position is available for a highly motivated Postdoctoral Research Associate with expertise in bioinformatics to join the research groups led by a/Prof Carlo Rinaldi and Prof
-
Posting Information Posting Details Department Genetics - 423501 Posting Open Date 04/18/2024 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title Post-Doc
-
information from clinical studies and report to ClinicalTrials.gov. - If required, participate in biostatistics/ bioinformatics educational activities related to cancer research for investigators, fellows
-
, seeks a Postdoctoral Research Associate to join the lab of Adam Palmer, Assistant Professor of Pharmacology. Successful candidates in this position as Postdoctoral Research Associate will apply
-
, seeks a Postdoctoral Research Associate to join the lab of Adam Palmer, Assistant Professor of Pharmacology. Successful candidates in this position as Postdoctoral Research Associate will apply
-
childhood kidney disease. We do this using bioinformatic techniques such as genome-wide association studies, genetic risk scores, and Mendelian randomization studies applied to large genetic databases and