Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
qualifications: The ideal candidate should have a minimum of 1-2 years’ experience working with mice including cancer xenograft models, basic molecular biology laboratory experience (cell culture, pcr, western
-
. · Experience in cellular immunology and/or tumor immunology as well as molecular biology. · Proficiency with murine tumor models and multicolor flow cytometry. · Experience managing others by
-
, shaping the future of medicine through cutting-edge research. A Research Associate II position is available in the laboratory of Dr. Ke Ma. The Ma lab applies state-of-the-art circadian biology, molecular
-
, Alzheimer’s, and sickle cell disease, while also applying our techniques to molecular dynamics simulations of proteins and complexes. As a successful candidate, you will: Develop novel probabilistic network
-
&sort=date As a successful candidate, you will: · Work on stem cells, genome editing, HTS, pancreatic islet biology and diabetes. · Skills that are required for the lab are molecular
-
information to advance the field of Precision Medicine As a successful candidate, you will: • Develop and implement computational pipelines and innovative bioinformatics strategies for the molecular
-
xenotransplantation models, and utilizing bioluminescence imaging. Employ molecular biology and biochemistry techniques such as retroviral/lentiviral transduction, molecular cloning, high-throughput RNA/DNA sequencing
-
macromolecular complexes and use these properties to develop new tools and novel therapeutics. As a successful candidate, you will: · Conducts routine and specialized laboratory experiments in Molecular
-
field (e.g., biochemistry, molecular biology, or a related discipline). · Proven experience in mass spectrometry, cell biology, and proteomics. · Bioinformatics expertise is a plus
-
candidate, you will: · You must have experience with flow cytometry, molecular biology techniques, cell culture, microscopy, tissue processing, immunohistochemistry, immunofluorescence, data analysis