Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
varying from analytical chemistry to biochemistry and molecular biology we study how plants use signaling molecules to affect the behavior of other organisms in the rhizosphere. This includes communication
-
to understand the mechanical and structure-function properties of milk fat globules and to reverse-engineer them using plant-sourced molecules? Then, this joint PhD position at Biobased Chemistry and Technology
-
Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
self-assemble from a number of interacting single-stranded DNA molecules. An accurate prediction of DNA structures still remains difficult, which significantly slows down the development of new desirable
-
and integrative methods combining high-resolution imaging, functional genomics, single-molecule biophysics, and computational modelling Candidates should have a proven track record in biology
-
tweezers technology. The position focuses on quantitative single-molecule measurements and mechanical manipulation of biomolecular complexes to investigate fundamental biological processes. The successful
-
of major breakthroughs. The fetal environment is rapidly emerging as the next frontier for gene and small-molecule therapies, and fellows in our lab will gain hands-on experience in shaping this future. By
-
information about the School of Biomedical Engineering, please visit https://www.bme.ubc.ca/ . The computational cancer biology and pathology artificial intelligence team (AI in Medicine Lab) at the University
-
Posting Number req24589 Department Physiology Department Website Link https://physiology.arizona.edu/ Location University of Arizona Health Sciences Address 1501 N. Campbell Avenue, Tucson, AZ 85724 USA
-
genomics, single-molecule biophysics, and computational modellingCandidates should have a proven track record in biology, biophysics, or computational science. Your research proposal should be original and
-
) Understanding the genetic and phenotypic subtypes of pancreatic cancer using single cell genomic and transcriptomic analysis of tumor biopsies and patient-derived organoid models. Research in the laboratory