Sort by
Refine Your Search
-
and structural biologists and all structural biology and mass spectrometry core facilities. Physical proximity to the Chemistry Building promotes strong interactions with other groups in the inorganic
-
experiment at the Large Hadron Collider. The research activities of the group will focus on the study of the partonic structure of protons and nuclei, as well as the properties of quark-gluon plasma. The group
-
. Expertise in statistics and data management Strong communication and interpersonal skills Ideal candidates have Experience in fMRI research Strong computer skills Promising publication record The anticipated
-
-structured, clear, and concise research sections for reports Author or co-author presentations, research reports, and/or manuscripts for peer-reviewed publications Special Instructions If you are interested in
-
spectroscopy of nanomaterials · Plasmonics · Electron microscopy Desired Attributes: Proven ability in creative problem-solving, effective time management and prioritization across diverse research activities
-
function. Our lab studies mechanisms of enzyme catalysis and/or electron transfer between proteins, with a particular interest in understanding the involvement of conformational dynamics. The available
-
University School of Medicine Email: xcdong@iu.edu Webpage: https://medicine.iu.edu/faculty/19563/dong-x Additional Qualifications Special Instructions Priority Application Review Deadline Expected Start Date
-
of Biochemistry and Molecular Biology Department of Biochemistry and Molecular Biology Indiana University School of Medicine Email: xcdong@iu.edu Webpage: https://medicine.iu.edu/faculty/19563/dong-x Additional
-
, technical, or interdisciplinary field such as Information Science, Economics, Political Science, Public Policy, Engineering, Computer Science, Cybersecurity, Human-Computer Interaction, Business, Law, Urban
-
Interest in analyzing biomedical/clinical/genomics datasets using computational approaches such as longitudinal analysis, mixed-effect modeling, regression, and AI/machine learning in large-scale electronic