Sort by
Refine Your Search
-
Country
-
Employer
-
Field
-
formally conferred; the candidate may present evidence of completion of the degree requirements, together with a statement documenting the date on which the degree is to be conferred. Be Bold The incumbent
-
integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
-
integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
-
in several of the following key topics: Energy System Technologies Digital Twin Platforms and Data Analytics Predictive Models & Explainable AI (XAI) Methods in Time Series Forecasting Data Retrieval
-
languages and to propose new methods inspired by the recent advances in Large Language Models (LLMs) for these tasks. Our approach aims to 1) build and collect a corpus of lexical complexity assessments by
-
DTU Tenure Track Researcher in Nutrition, Sustainability and Health Promotion with a focus on Sus...
both. As formal qualification you must hold a PhD degree (or equivalent) in a relevant field, such as nutrition (e.g., nutrition science, nutritional epidemiology), sustainability (e.g., environmental
-
PhD Researcher in Theoretical or Experimental Pragmatics / Cognitive Science (m/f/d, E 13 TV-L, 65%)
robust formal and programming skills, as documented through course work or research projects. Rudimentary experience with experimental work and statistical data analysis, possibly also mathematical
-
journal articles; development of project leadership skills; NIH and DoD grant submissions; quantitative, qualitative, and mixed methods training; community-based participatory research, and formalized
-
with algorithms, numerical methods, signal processing and dynamic system modeling Experience from or formal training within analysis and processing of large data sets, signal processing is mandatory