Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
. Demonstrated experience designing analytical frameworks, and experience using machine learning algorithms and Bayesian statistics within the R-language. Demonstrated experience managing project workflows and
-
established SOPs for new and existing molecular sequencing technologies – genome engineering, new and existing computational algorithms – iPSC differentiation to neurons, organoids, and assembloids. Complies
-
information about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience 3 yrs Required License/Registration/Certification Licensed Pharmacist plus Epic Certification
-
Analysis Machine Learning Genetics Molecular Biology References: Developmental mitochondrial complex I activity determines lifespan. Stefanatos R, Robertson F, Castejon-Vega B, Yu Y, Uribe AH, Myers K
-
conferences in programming languages, algorithms, and theory, including STOC, FOCS, SODA, and OOPSLA. INSAIT is structured similarly to top U.S. and European research institutions and offers exceptional working
-
, genetic information, veteran status, marital status, and/or political affiliation. See https://equity.unl.edu/notice-nondiscrimination/ Minimum Required Qualifications For all positions: Ability to thrive
-
California State University, Northridge | Northridge, California | United States | about 5 hours ago
Hawaiian or Pacific Islander. For more information about the University, visit: http://www.csun.edu About the College: The Andrew J. Anagnost College of Engineering and Computer Science seeks to be a
-
Posting Summary Logo Posting Number STA00967PO25 Job Family Operational Analysis Job Function Business Intelligence USC Market Title IT Technical Trainer Link to USC Market Title https
-
for maintaining information ecosystem health. AI Systems and Societal Impact in Diverse Domains: Research on bias, fairness, and demographic representation in AI/ML systems; algorithmic accountability; healthcare
-
, APIs, and SDKs by reading documentation • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. • Experience with common data