47 modeling-and-simulation-post-doc "https:" Postdoctoral positions at Northeastern University
Sort by
Refine Your Search
-
analysis (16S rRNA sequencing, QIIME2, DADA2, R/Python) and experience with rodent models of inflammation or dietary intervention studies. Applicants should be highly motivated and creative, have excellent
-
well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard
-
, biomedicine, and other areas of societal importance. Coding and/or machine learning experiences are highly valued. Specific projects may involve developing multiscale simulation methods for quantum mechanical
-
nanoelectromechanical systems (MEMS/NEMS). The successful candidate will conduct advanced research in the design, modeling, fabrication, and characterization of MEMS/NEMS devices, with an emphasis on electromechanical
-
using various methods, technologies for printed electronics, tactile sensing and haptics, electronic skin and its application in robotics and wearable systems. Knowledge of simulation tools (e.g
-
biochemistry, genetics, microbiology, and cell biological approaches. For more information check the Saavedra lab website: https://www.saavedralab.com The successful candidate for this role will join a
-
About the Opportunity Job Summary The Copos Group works on computational and mathematical theoretical models with direct applications to several open problems in cell biology. We are specifically
-
), electrophysiology, genotyping, brain stimulation (tES, TMS), computational modeling and/or machine learning. For all our projects, we seek post-doctoral researchers who aim to take leading roles in projects
-
, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply
-
. ● Experience with human subject research. ● Facility with statistical analyses such as structural equation modeling, multilevel modeling, and longitudinal analysis ● Demonstrated ability to successfully manage a