Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
the Urban Energy Systems Laboratory (UESL), we develop strategies and methods to support the creation of decarbonized, resilient, and equitable energy systems. This PostDoc position is offered in
-
exploit the findings for therapeutic applications. Experimental methods include molecular and cell biology, flow cytometry, histology and microscopy, protein methods, and bioinformatics, and very
-
in programming languages, formal methods, and/or networking, with interests in one or more of the following areas: NetKAT and its extensions, symbolic automata, routing algebras, packet scheduling, and
-
infrastructure brings together physicists, earth and planetary scientists, chemists and biologists to understand the conditions and the mechanisms that enable life to emerge. Developing reliable methods to
-
interpretable models of users' beliefs, uncertainty and misconceptions from dialogue. Develop human-centered evaluation methods for personalized AI to assess how people understand and use complex
-
students; contribute to lab meetings and methods workshops Your profile PhD in psychology, computational social science, data science, cognitive science, statistics, computer science, or a related
-
methods Publication record or demonstrated research impact Fluency in spoken and written English and Brazilian Portuguese Ability to work independently while contributing to collaborative international
-
data (e.g., Refinitiv, PitchBook, etc.) and experience with experimental or survey-based methods is a plus; experience with programming languages and statistical software (e.g., R, Stata, or Python
-
institutional regulations. Project background Understanding human motivation requires methods that go beyond questionnaires and simplified computer-based tasks. This project aims to develop more naturalistic, yet
-
Interaction to redefine how machines interpret human actions, anticipate intentions, and interact seamlessly with people in various settings. The successful candidate will be developing new methods for Real