11 phd-mathematical-modelling Postdoctoral positions at Case Western Reserve University
-
. The project seeks to advance population health using innovative quantitative methods in system dynamics computational modeling and structural equation modeling applied to accelerating the translation and
-
Supervisor Name and Title: Tyler E. Miller, MD, PhD, Principal Investigator POSITION OBJECTIVE The Postdoctoral Scholar will lead innovative research projects focused on the intersection of technology
-
write manuscripts and present research work at scientific conferences. Credentials and Qualifications: PhD in Biostatistics/Bioinformatics, Data Science, Computer Science, Genetics or related field
-
weekly lab meetings, the department seminar series, and the Ecology and Evolution discussion group. QUALIFICATIONS PhD in Biological Sciences or related field COMPENSATION Funding for this position has
-
% - 2%) QUALIFICATIONS Education: PhD. Degree in Chemistry, Mechanical Engineering, Materials Science, or related discipline. Experience: No post-terminal degree experience required. Experience and
-
models, zebrafish models, and primary neuron culture is required. The candidate will work independently and should be competent to read the literature, assist with the designing and planning of projects
-
models and flow cytometry is required. The candidate will work independently and should be competent to read the literature, assist with designing and planning of projects and carry out research
-
, immunology, biochemistry to cell culture, animal studies, patient samples and 3D organoid systems. Experience with mouse models and flow cytometry is required. The candidate will work independently and should
-
with mouse models and flow cytometry is required. The candidate will work independently and should be competent to read the literature, assist with designing and planning of projects and carry out
-
. Working experience using transgenic/knockout and xenograft mouse models, Cell Signaling and basic molecular biology techniques is valuable; familiarity with CRSPR/Cas9, cancer stem cells, bioinformatics