Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Job Code: 9521 - Research Assistant and 9529 - PhD Candidate Research Assistant Employee Class: Grad/Prof Student Position This position will provide support for lesson plan development relating
-
Previous Job Job Title PhD Candidate TA - NSC 5661 Next Job Apply for Job Job ID 369157 Location Twin Cities Job Family Graduate Assistants Full/Part Time Part-Time Regular/Temporary Regular Job
-
Previous Job Job Title PhD Candidate TA - NSC 5461 Next Job Apply for Job Job ID 369156 Location Twin Cities Job Family Graduate Assistants Full/Part Time Part-Time Regular/Temporary Regular Job
-
Khani. Job Duties: Developing new models, optimization algorithms, and machine learning algorithms for transportation systems and services (40%). Applying the models and algorithms to new transportation
-
provides hands-on experience in algorithm design, computational testing, hardware demonstrations, and close collaboration with graduate students and faculty mentors. Key Responsibilities: Design and
-
management retains the right to modify flexible work arrangement agreements on a temporary or permanent basis for any reason at any time. Qualifications Required Qualifications: PhD in Epidemiology Pay and
-
tracked and the growth factor and exosome data will be compared using machine learning algorithms to identify growth factors and exosome numbers that correlate positively or negatively with clinical
-
determined at time of hire, following assessment of skills/experience. Required Qualifications Earned doctorate (DNP, PhD or International equivalent), or comparable qualification. For RNs, licensure in MN by
-
. Work will be directly supervised by the PI. Qualifications All required qualifications must be included in the application materials Required Qualifications: PhD in pharmacology-related discipline
-
are encouraged to pursue further training with the Geropathology Grading Platform on pre-clinical models of aging, leading to a PhD degree through opportunities funded by the Institute on the Biology of Aging and