Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
development and marine management. Your primary tasks will be to: Compile and harmonize data from multiple sources (e.g., EMODnet, Copernicus, fisheries surveys, citizen science). Engage with data managers and
-
explored using scientific machine leaning. Machine learning, programming experience and a curious mind-set You are fascinated by how computers can learn from data and you have a strong interest in the
-
undermine this future. Can you see how Machine Learning, Computer Vision, and Robotics can open up opportunities for autonomously operating agricultural robots? Are you passionate about making agriculture
-
oxidation and disinfection processes. Work together with researchers at multiple departments at DTU and NTNU Research activities will mainly be carried out at DTU Sustain with research visits in Norway
-
, philosophy, history, anthropology, diversity, equity and inclusion, culture and leisure management. What unites faculty is an overriding concern for the organization of the human within its multiple
-
Confederation of Professional Associations. Please check links for more information on salary (only available in Danish) and taxation . Applications will be assessed by an expert committee. Applicants will be
-
and competences across multiple engineering programs. To do so, you will: Develop the research field by identifying knowledge gaps of scientific, academic, and industrial relevance Contribute to and
-
collaborative settings and wish to play a key role in an EU-funded project with researchers from multiple countries? If so, this PhD position could be a good opportunity for you. This project focuses
-
/research/env_chem_phys/ac/). The centre operates on multiple levels in the value chain, going from fundamental research to education and application of analytical methods, often in collaboration with
-
indicators in collaboration with an interdisciplinary team including pedologists and other experts. You will work experimentally with soil samples and various types of spatial data collected from multiple