Sort by
Refine Your Search
-
Listed
-
Field
-
science, psychology, sociology, communication, human-computer interaction, statistics, applied mathematics, or a closely related discipline. Required Qualifications: Evidence of the ability to define and
-
to ethical and reproducible research. Relevant experience may include network measurement, mobile systems, browser instrumentation, distributed experimentation, statistical analysis, causal inference, large
-
simulations is desirable. An ideal candidate should have a solid background in physics and chemistry, particularly in the area of statistical mechanics with excellent verbal and written communication skills
-
Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods
-
competent in research design and advanced statistical analyses, and have strong writing and communication skills. Preferences will be given to candidates who are passionate about gender-related issues and
-
. Relevant skills could include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting
-
Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems Requirements: PhD in Mathematics, Computer Science
-
must hold a PhD in social psychology or a closely related field, with no more than five years post receipt of the PhD, be competent in research design and advanced statistical analyses, and have strong
-
analytical skills and experience with spatial modelling and statistical software such as R, Python, or MATLAB. Experience using GIS, side-scan sonar, multibeam bathymetry, underwater imagery, remote sensing
-
analyses and developing habitat maps using marine datasets. Applicants should possess strong analytical skills and experience with spatial modelling and statistical software such as R, Python, or MATLAB