Sort by
Refine Your Search
-
partnerships (25%) Qualifications Required Qualifications: PhD in Kinesiology, Exercise Science, or Related Field; basic proficiency in statistical and qualitative analyses using relevant softwares; experience
-
development. Visa sponsorship is available for this positions. Outstanding U of A benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave
-
available for this positions. Outstanding U of A benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; U of A/ASU/NAU
-
statistics and standardize complex economic and ecological data into index-based scores for all Minnesota lakes greater than 10 acres. ● Coordinate with team members to integrate these ecosystem service values
-
interaction with collaborators. Visa sponsorship is available for this position. Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU
-
is not available for this position. Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction
-
there for many decades to come. Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and
-
observations be assimilated into predictive ecosystem digital twins? Can autonomous AI systems optimize environmental monitoring and experimentation? Outstanding U of A benefits include health, dental, vision
-
this does not compromise the goals of the position and the quality of work, they are acceptable. Visa sponsorship is not available for this position. Outstanding U of A benefits include health, dental
-
Chekouo and his collaborators within and outside the University of Minnesota. The research will focus on the development of Bayesian statistical/machine learning methods for the data integration analysis