Sort by
Refine Your Search
-
engineering, kinesiology, biomechanics, electrophysiology, with an interest in neurotherapy. Ideal candidates will have strong computational, statistical and mechatronics skills. A moderate level of
-
, and tree-based structures, necessitate interdisciplinary approaches such as compositional data analysis, random variable transformation, hierarchical models, and sampling computations. On the data
-
projects related to exosomes, cancer biology, immunology, and infectious diseases as well as the role of HIV in cancer progression. This person is responsible for contributing data for grant proposals
-
Competent in molecular biology (cloning, and site-directed mutagenesis) Basic/advanced computer programming (Python, MATLAB, or R) Proficient in scientific writing APPLICANT INSTRUCTIONS Interested candidates
-
in engineering, kinesiology, or biomechanics, with an interest in neurotherapy and vocational rehabilitation. Ideal candidates will have strong computational, statistical and mechatronics skills. A
-
cavity to understand these interactions in the context of microbial diversity and the dynamic infection environment. The lab uses classic wet-lab approaches and cutting-edge computational techniques such as
-
are required. EDUCATION REQUIREMENTS Minimum qualifications include a Ph.D. degree in life sciences or related majors or M.D. equivalent degree. Demonstrated publication record. The successful candidate must