Sort by
Refine Your Search
-
Listed
-
Field
-
Description Applicants will be involved in NIH-sponsored research to address the impact of surgical trauma (orthopedic surgery) on the blood-brain barrier, glia activation, and neurodegeneration. Different
-
program focuses on translational, laboratory-based, and mechanistic studies aimed at understanding how host-microbe interactions impact conditions such as recurrent urinary tract infections (rUTIs) and
-
knowledge of translational drug development. · A track record of completing research projects and recent first/ lead authorship in high impact scientific journals Preferred · Experience with bi-specific T
-
. This approach has direct impact on tobacco product regulation, both in the US and internationally. Essential publications are available here: https://www.ncbi.nlm.nih.gov/sites/myncbi/1XgVxedsk1M/collections
-
program. A doctoral degree or equivalent (Ph.D., ScD., DrPH, M.D., D.V.M., DDS etc) in Epidemiology, Biostatistics/Statistics, Bioinformatics, Genomics, or other relevant disciplines. Knowledge in the areas
-
to state-of-the-art facilities. Join us in our mission to advance our understanding of alveolar development, homeostasis, regeneration, and pathology. Your valuable contributions will significantly impact
-
-TEM. · The Department of Biochemistry provides a rich intellectual environment, with research in structural biology (cryo-EM, X-ray crystallography, NMR spectroscopy), and computational biology
-
will perform the following tasks: • Design, implement, and maintain scalable computational pipelines for multi-omics data, including bulk/single-cell RNA-seq, spatial transcriptomics, metagenomics
-
program. A doctoral degree or equivalent (Ph.D., ScD., DrPH, M.D., D.V.M., DDS etc) in Epidemiology, Biostatistics/Statistics, Bioinformatics, Genomics, or other relevant disciplines. Knowledge in the areas
-
, computer science, bioinformatics, or o ther related disciplines is required. Strong interest, research background and experience in the methodology research in functional data analysi s, tensorregression, high