Sort by
Refine Your Search
-
Qualifications: PhD or foreign equivalent in Biology, Molecular Genetics, Fisheries Science, Statistics or related disciplines Experience in basic laboratory techniques Thorough knowledge of population genetics
-
Position Details Position Description The Marine Population Genomics Lab at the School of Aquatic and Fishery Sciences (SAFS) invites applications for a full time Postdoctoral Scholar (PDRA) to develop
-
the personnel so classified. Management reserves the right to revise or amend duties at any time. Required Qualifications Education: Ph.D., M.D. Or Equivalent Terminal Or Doctoral Degree. Certifications
-
the right to revise or amend duties at any time. Required Qualifications Education: Ph.D., M.D. Or Equivalent Terminal Or Doctoral Degree. Certifications: No specific certification is required
-
and run evolutionary biogeochemical numerical models to simulate lifeless and inhabited worlds, and develop disequilibrium-, redox-, and information-based metrics to understand and quantify
-
opportunities. Responsibilities: Write and run evolutionary biogeochemical numerical models to simulate lifeless and inhabited worlds, and develop disequilibrium-, redox-, and information-based metrics
-
by project partners in Europe to Western U.S. landscapes. This position will involve collaboration with a variety of stakeholders to co-develop risk indicators, build spatial datasets, generate risk
-
opportunities. Responsibilities: Write and run evolutionary biogeochemical numerical models to simulate lifeless and inhabited worlds, and develop disequilibrium-, redox-, and information-based metrics
-
Driver's License: A driver's license is not required for this position. More About This Job Required Qualifications: A PhD in Genetics, Bioinformatics, Computer Science, Data Science, Statistical Genomics
-
, to define novel biomarkers, and to identify novel therapeutical targets. We have pioneered in the integration of genetics with omic data to identify proteomic signatures and develop novel predictive models