Sort by
Refine Your Search
-
decision processes and/or integrate neuroimaging and detailed phenotypic data to investigate mechanisms relevant to addiction and recovery. We are seeking a Postdoctoral Associate to join the Addiction
-
of new TCR-based treatments. Interdisciplinary and translational approaches are encouraged. Qualified candidates must be in the process of completing or have finished the training for their Ph.D. and/or
-
are the following: Conducts computer simulations of protein structure and computational protein design of small peptides and proteins. Synthesizes and characterizes peptide and protein designs. Structural and
-
, moderate standing, moderate walking, bending, travel to various sites/locations. Extensive reading required. Extensive computer work required. Periodic speaking/lecturing for prolonged periods. A Moderate
-
Experience PhD degree required. Consideration to interview will also be given to applicants who are in the process of completing their PhD degree. Documentation of PhD degree completion must be provided prior
-
. Hearing and speech capabilities necessary to communicate with other researchers and staff in person, on the telephone and by e-mail. Vision capable of viewing gauges, computer monitors, charts, forms, text
-
gauges, computer monitors, charts, forms, text and numbers for prolonged periods. WORK ENVIRONMENT Included is training in BSL3 practices, and willingness to work with virulent and drug-resistant M
-
person, on the telephone and by e-mail. Vision capable of viewing gauges, computer monitors, charts, forms, text and numbers for prolonged periods. WORK ENVIRONMENT Must be available to work flexible hours
-
research setting. Ability to work independently and in teams. Preferred Qualifications Equipment Utilized Computer (Microsoft Office) Physical Demands and Work Environment PHYSICAL DEMANDS: Frequent
-
research on health outcomes and environmental data. Experience in qualitative research or community engagement. Equipment Utilized Computer literate with proficiency in statistical and analytical software