Sort by
Refine Your Search
-
environments About the Department Neuroscience is the scientific study of the nervous system. It is an interdisciplinary science that collaborates with other fields such as chemistry, computer science
-
the next stage of their career. Please direct questions about the position to Cheryl Olman, caolman@umn.edu. Qualifications Required qualifications: PhD in Computer Science, Biomedical Engineering
-
international conferences Qualifications Essential Qualifications: PhD in education, psychology, biology or a related field Experience with and knowledge of anatomy and physiology education, evidence-based
-
to the preparation of manuscripts. Qualifications Required Qualifications: Ph.D. in Bioinformatics or Computational Biology Preferred Qualifications: Experience in preclinical studies, animal handling, molecular
-
science within a lively lab focused on executive function and related academic skills and human flourishing, as well as additional training in the responsible conduct of research, grant writing, manuscript
-
as Earth and atmospheric sciences, environmental science, hydrology, ecology, computer science, math, statistics, or related fields. Strong programming experience (e.g., Python, Fortran, or C++) and
-
Qualifications: •A doctoral degree in a relevant field. "Relevant" is very broad. Scholars from neuroscience, biomedical engineering, psychology, physics, computer science, and many other disciplines have thrived
-
, Environmental, and Geo- Engineering. One would take the lead on a project co-supervised by Profs. Novak and Arnold to evaluate the role of microbial starvation in the degradation of contaminants of emerging
-
Biology, and Development at the University of Minnesota. We are seeking a highly motivated postdoctoral associate to join our team. This role involves developing and applying single-cell systems biology
-
including engineering of mammalian cell genomes using CRISPR/Cas9 editing, cell cycle synchrony experiments, analysis of chromosome segregation, immunostaining, live cell microscopy, and quantitative image