Sort by
Refine Your Search
-
Jobs Research Assistant: register data from Statistics Denmark - DTU Management Kgs. Lyngby, Denmark Posted on 03/18/2024 The Division for Climate and Energy Policy at DTU Management offers one research
-
role in contemporary efforts to address climate change, as it offers a promising strategy for mitigating the impact of greenhouse gas emissions. In essence, CCS technology involves capturing carbon
-
sustainable energy. Responsibilities, tasks and qualifications The increasing importance of the Internet of Things (IoT) for applications within e.g. climate monitoring for agriculture, water quality
-
sensing, which will contribute to a larger context, such as climate change, by providing a solution for real-time and precise detection of crucial greenhouse gases in the atmosphere. Postdoc in Experimental
-
larger context, such as climate change, by providing a solution for real-time and precise detection of crucial greenhouse gases in the atmosphere. PhD scholarship in Bluelight Thin-Film Lithium Niobate
-
of climate change. We have a large national and international network and cooperate with research partners, public authorities, industry, and NGOs. We have state-of-the-art research facilities and Denmark’s
-
affiliated with DTU's Department of Technology, Management and Economics in the Division for Climate and Energy Policy. The division is an interdisciplinary research unit addressing the societal aspects
-
(DTU) and Dr. Biagio Ciuffo (JRC). Postdoc in Simulation and AI in APEX project - Artificial Intelligence for Policy Excellence in the Climate Crisis - DTU Management Kgs. Lyngby, Denmark Posted on 02/06
-
reduced effects of climate change. We have a large national and international network and cooperate with research partners, public authorities, industry, and NGOs. We have state-of-the-art research
-
Description We offer 3 PhD positions in the Artificial Intelligence for Policy Excellence in the Climate Crisis (APEX) project at the Technical University of Denmark, focused on developing a Machine Learning