Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
). The emergence of data-driven techniques (broadly grouped under the term “machine learning”) challenges the traditional foundations of controls and represents an alternative paradigm that cannot be ignored
-
Your job We are looking for an enthusiastic postdoctoral researcher to expand and strengthen research on "Healthy Lifestyle through Data Science, Machine Learning, and AI". Are you excited about the
-
Postdoc in Machine Learning for Oligopeptide Design (1.0 FTE) (V24.0584) « Back to the overview Job description The advent of modern machine learning (ML) methodology is accelerating scientific
-
Organisation Job description The advent of modern machine learning (ML) methodology is accelerating scientific progress by streamlining research across disciplines. In chemistry, it enables
-
towards a future-proof logistics system with a special focus on machine learning-based collaborative scheduling, resource sharing, and self-organisation. The EngD position corresponds to a 2-year post
-
Model of Immersive Learning (CAMIL) by empirically examining how immersive VR supports learning processes across educational contexts. This position is part of a larger project funded by the Nationaal
-
Centrum Wiskunde & Informatica (CWI) has a vacancy in the Machine Learning research group for a talented Postdoc/researcher (m/f/x). Job description We are looking for a motivated postdoctoral
-
established background and/or keen interest in language evolution, human evolution, language learning and/or communication. You have hands-on experience in designing and using VR environments and software (e.g
-
research. The role of social class for people on the move is understudied. This social class position of immigrants shapes their ability to navigate migration laws and acquire a legal migration status. Once
-
from resources like Wikidata or fan wikis. In addition, both the full text and the existing triples can be leveraged for the extension of the knowledge graph via automated reasoning, inferential learning