Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
to enhance the performance, reliability, capabilities and environmental sustainability of the ESA operational framework for Copernicus (EOF-CSC) and DestinE ecosystem services operations and big data
-
the fundamental understanding of pesticide residues in soils through experimentation, modelling, and big data analysis. You will: Combine existing farm management, soil property and soil pesticide residue data
-
for High-Frequency Financial Time-Series Data Introduction Are you passionate about using advanced machine learning techniques to solve real-world problems in financial trading? Do you enjoy working with
-
knowledge graph models of such transformations that are self-describing when applied to existing map repositories, and can be scaled up to large data repositories using state-of-the-art AI methods. In
-
knowledge of extracting (event) data from text, documents, and/or media articles or implementing large-N analytics and algorithms, preferably LLMs and/or NLP. Conduct collaborative and independent research
-
, industry, research institutions and universities from across ESA’s Member States. For further information on space medicine internships, please follow this link Candidates interested are encouraged to visit
-
-engineering. A semantic interoperability backbone and data management are also required due to the large number of stakeholders and their need to receive or exchange information. Experience with modelling
-
, designs, infrastructures and action-perspectives for a climate-proof, drought-resilient, and water-sensitive built environment. For more information about the project, see: Thirsty Cities . Are you eager
-
proficiency in R or Python for data analysis and modeling. Familiarity with analyzing large-scale healthcare datasets and real-world data. Experience in developing and applying simulation models, including
-
/nature conservation or a similar relevant field as mentioned above; Sound understanding of forest ecology and biodiversity; Experience or strong interest in big data analysis; Proficiency in programming