Sort by
Refine Your Search
-
, listed until 2026/06/17) Position Description: Apply Position Description The Critical Minerals Hub at Duke is accepting applications for a postdoctoral associate. We are seeking applications from talented
-
. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical imaging data, computer models
-
expected to engage in research at the interface of mathematics, data analysis, and life sciences. Possible research topics include mathematical modeling of microtubule dynamics in neuronal cells, analysis
-
for control and analysis of instruments, applying these systems to the study of human diseases, and acquiring and analyzing clinical data sets. Programming skills should include MATLAB, Labview, Python and/or C
-
Postdoctoral Associates. Scope of Work: • Lead the design and synthesis of novel chemical entities. • Optimize reaction conditions and processes for the synthesis of lead compounds. • Perform detailed analysis
-
pixel-level analysis techniques ● Prior involvement in LSST DESC, Roman PITs, or similar large collaborations Environment and Collaboration: The Duke Cosmology Group is part of a vibrant research
-
candidate will have experience or basic understanding of several of the following areas: high-dimensional data analysis, genome-scale analysis, analysis of genetic data, epidemiology, translational research
-
, and (b) the critical role of structural and functional connectivity using combined tractography and graph theory analyses. Our modeling of mnemonic representations uses the latest tools available to AI
-
principle not be enough for this position. Fluency in data analysis in R, and strong experimental skills are essential. Experience with field observational studies, handling or large datasets and mathematical
-
responsible for: 1) designing and conducting laboratory work using molecular biology and functional genomic approaches, 2) analysis of new and previously published data, and 3) preparation of results