17 computational-physics-postdoc-"https:" "RAEGE Az" PhD positions at Duke University
-
data, and apply the computational methods to understand biomedical problems like tumor microenvironment, immunology, and aging. The individual will work with Dr. Yi Zhang (https://yi-zhang-compbio
-
the university and with industry to translate discoveries into clinical proof of concept studies. Working with a team led by Drs. H. Kim Lyerly, Zachary Hartman and Josh Snyder, this program spans basic discovery
-
from state-of-the-art microfluidic lymph node on-a-chip systems used to study infection initiation and immune response. The postdoc will be co-mentored by an interdisciplinary team of biologists and
-
. or equivalent doctorate (e.g. Sc.D., M.D., D.V.M.) in medical physics, biomedical engineering, electrical engineering, or computer science. Candidates with non-US degrees may be required to provide proof
-
lab’s website https://sites.duke.edu/corinnelinardiclab/ . Be You Work Performed · Perform literature reviews to guide research · Design and execution of standard in vitro assays ongoing in the lab
-
to therapies and vaccines against human diseases. We are a team of highly interactive investigators that have expertise in immunology, molecular biology, virology, microbiology, structural biology, computational
-
of experiments, including raw experimental data and laboratory notebooks. Monitor progress of research projects and coordinate with Principal Investigator and Program team to stay on budget and schedule to meet
-
projects and coordinate with Principal Investigator and Program team to stay on budget and schedule to meet the milestones and deliverables. Follow standards of responsible conduct in research. Comply with
-
. · The appointment is viewed as preparatory for a full-time academic or research career. · The appointment is not part of a clinical research training program, unless research training under the supervision of a
-
Requirements: Ph.D. in mathematics, applied mathematics, physics, computer science, engineering, or a related quantitative field. Strong knowledge of differential equations and applied mathematical modeling