1,030 proof-checking-postdoc-computer-science-logic positions at University of Minnesota
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Job Code 8208R3 Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job A Program Coordinator is needed to assist with a National Science Foundation Research Traineeship (NRT
-
for Magnetic Resonance Research (CMRR), including ultra- high resolution 7T imaging. Our group is strongly committed to professional development and personalizing the postdoc experience. We encourage
-
. • Proof of non-active tuberculosis and immunization for (or resistance to) measles, mumps, rubella, Hepatitis B, and pertussis (as well as any other requirements per Fairview Research Administration
-
postdoc participation is required. Qualifications Required Qualifications Ph.D. in bioprocess engineering, environmental engineering, or other related engineering program with one or more years of research
-
candidate is expected to have access to a reliable internet connection for duties undertaken remotely. Qualifications Required Qualifications: A PhD degree in Biostatistics, Statistics, Computer Science or a
-
, to evaluate the potential population count and distribution of beavers. - Use/develop appropriate computer modeling and remote sensing techniques to estimate vegetation greenness, burn severity, and total water
-
directions that may be pursued to further our research program. ● Adhere to all safety practices and follow lab-specific standard operating procedures. Science communication - 10% ● Generate figures
-
status updates ● Maintain and demonstrate core/universal competencies, and complete any new required learnings Study Coordination (40%) ● Collaborate with study team, program managers, attending physicians
-
-person on the Crookston Campus location. The assistant coach (AC) is expected to work closely with the head coach, Assistant coach and all other stakeholders within our program and the department
-
Qualifications: • Ph.D. in biodiversity informatics, remote sensing of biodiversity, or related fields, and a strong background in implementing advanced machine learning and deep learning approaches, spatial