92 phd-in-mathematical-modelling-of-biochemical-reactions Postdoctoral positions at University of Washington
Sort by
Refine Your Search
-
interactions, nuclear structure and reactions, electroweak structure, and lepton-nucleus scattering. The candidate will contribute to advancing statistical and computational algorithms to extend the capabilities
-
Position Summary A Mathematical Epidemiology/Infectious Disease Modeling position is available in the Mitreva Lab with the Division of Infectious Diseases, Department of Medicine and McDonnell
-
liver resection and transplant. We use multidisciplinary approaches including in vitro and in vivo models of I/R injury, biochemical and genetic analysis, transcriptomics, imaging with live cells and
-
, Biological Oceanography, Mathematics, Statistics, Computer Science, or related discipline Knowledge of modeling ecosystem and/or social network dynamics Strong quantitative skills Proficiency with statistics
-
will collaborate closely with Dr. Marine Denolle and Dr. Paul Bodin and researchers across UW, eScience Institute, Civil Environmental Engineering, Atmospheric Sciences, Applied Mathematics, and engage
-
the following fields is required: mathematical or computational biology, mathematical/statistical modeling, optimization, pharmacokinetics/pharmacodynamics (PK/PD) modeling, pharmacology, or related
-
disease with a focus on Alzheimer’s Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical methods to advanced imaging techniques
-
will require knowledge and experience with immunotherapies, peptides, chemical and biochemical analysis, and cancer models. Project work will involve peptides, formulation, analytical techniques, and use
-
neuropathological severity. The Postdoctoral Research Associate will be mentored by Dr. Carlos Cruchaga and will focus on the identification and modification of circRNAs in in vitro models of Neurodegenerative
-
dementias. We use a combination of iPSC-based systems and transgenic mouse models coupled with novel approaches including single-cell sequencing, CRISPR–Cas9 screening, and interactome profiling. The work