Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Rutgers University
- Argonne
- Texas A&M University
- University of North Texas at Dallas
- Texas A&M AgriLife
- University of Texas at Austin
- University of Maryland
- University of Nebraska Medical Center
- Baylor College of Medicine
- CEA
- CNRS
- East Carolina University
- INESC TEC
- International Iberian Nanotechnology Laboratory (INL)
- KINGS COLLEGE LONDON
- Lulea University of Technology
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Northern Alberta Institute of Technology
- Stanford University
- Stony Brook University
- Technical University of Munich
- University of Kentucky
- University of Minnesota
- Wayne State University
- 14 more »
- « less
-
Field
-
models; 2. Statistical methods, analysis, and inference for large-scale computational simulator applications; 3. Uncertainty representation, quantification and propagation; and 4. Scalable data science
-
. in Neuroscience, Molecular Biology, Genetics, or a related field. - Demonstrated expertise in mouse genetics, genotyping, and behavior analysis. - Proficient in a range of laboratory techniques related
-
the context of rapidly evolving anthropogenic aerosol emissions. Responsibilities Conduct scientific analysis to establish and explain the response of multivariate hydroclimate extremes to near-term evolution
-
analysis. Prior experience in EDA research and development. Prior chip tape-out experience (digital/analog/RF ICs, etc.) Familiarity with applied ML, modeling, and optimization. Salary Range $70,000
-
applies standard techniques of routine and non-standard research, keeping detailed records of data. Uses computers and laboratory or technical equipment to perform data analysis, statistical analysis, and
-
an understanding of glacioeustatic cyclicity, sequence stratigraphy, fluvial to shelfal marine sedimentology, basin analysis, and multidisciplinary data analysis workflows. Responsibilities Research development and
-
(Principal Investigator) the Postdoctoral Associate (Postdoc) will assist in multiple aspects of the lab’s research, including study design, data collection, study management, data analysis, and interpretation
-
for decarbonization strategies o Fluency in task automation, data cleaning and analysis in a programming language, with a preference for Python and/or R o Strong organizational skills and exceptional attention
-
Minimum Education and Experience PhD, MD or MD/PhD in psychology, cognitive neuroscience, computational psychiatry, or a related field. Proficiency with programming and data analysis using at least one of
-
artificial intelligence for advanced modeling and analysis. The successful candidate must be self-motivated and can think broadly and conceptually and formulate creative, sophisticated solutions to complex