Sort by
Refine Your Search
-
Category
-
Field
-
. Specifically, the PhD candidate is expected to contribute corpora preparation (collection and organizing the annotation), use machine learning approaches for irony detection, and testing for experimental and
-
complementary methodologies (corpus data and offline experimental measures). On the theoretical side, the project will develop a formal compositional model that generates the observed parameters of variation and
-
crosslinguistic investigations into the morphosyntactic and prosodic forms and pragmatic functions of reprise questions and reprise fragments, using experimental syntactic methods and speech production and
-
to probe metabolic states and function of control mechanisms. Analysis of strain performance and control mechanisms using computational tools (e.g., flux balance analysis, kinetic models, network component
-
, Interoperability and Reusability) into the experimental data bases and analysis pipeline. Qualification and skills Candidates should have good communication skills and motivation to familiarize themselves with new