24 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" positions at The University of Iowa
Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
POSTDOC - RADIOCHEM CURRICULUM & LAB DEVELOPMENT Requisition # 4445 Position Basics Advertising Ends on:Tuesday, September 30th, 2025 Advertising Started on:Monday, July 14th, 2025 College:College
-
assimilation and machine-learning techniques, (b) process understanding of the neighborhood risk of heat waves and fires associated with the change of weather pattern, and (c) novel algorithm development
-
Paleolithic diet in the setting of multiple sclerosis. The scholar's candidate’s specific project-related responsibilities will be developed in consultation with Drs. Wahls and Snetselaar and may include
-
heterodimerization of G protein-coupled receptors, and the impact of chronic opioid administration on cardiovascular development. Not much is known yet about the chronic effect of opioids on human tissue (i.e
-
will subsequently help us to develop new ligands to specifically treat patients suffering from these common diseases and to develop more precise medications in the future. We will use nanoparticle
-
Cognitive Neurology Lab Dr. Wessel’s lab is joint between the Departments of Psychological and Brain Sciences and the Department of Neurology at the University of Iowa. It is equipped with multiple EEG and
-
to collaborate with various Business Analytics faculty and may engage in multiple research projects with different faculty. The initial appointment is for one year, with the possibility of renewal dependent
-
position in MR Physics. This successful applicant will help with development of MR imaging methods to study tumor metabolism and response to therapy. The research in the MRRF is focused on the development
-
, biology, and medicine? We’re seeking a talented Scientist to join our dynamic team! Our mission is to develop novel PET imaging agents for widely metastatic cancers and to develop novel radioligand
-
required. Required Qualifications: Expertise in one or more of the following areas to solve problems in computational epidemiology as they relate to HAIs: AI, algorithms, discrete optimization, data mining