Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
environmental and climate challenges, seeking to contribute towards resolving them. At the Nijmegen School of Management, academic research and teaching are carried out in challenging educational programmes
-
the specified timeframe (4 years). Present research findings at top-tier NLP conferences and publish in peer-reviewed journals. Contribute to the teaching activities. Actively engage with the research environment
-
in biomolecular, biochemical, and cell/tissue culture techniques. You are an excellent team player, a fast learner, and thrive in a multidisciplinary environment. You are enthusiastic, creative, and
-
, founded in 1614, is renowned globally for its exceptional education and research. With around 33,000 students and researchers, it fosters a dynamic academic growth and collaboration environment
-
a dynamic academic growth and collaboration environment. The university is one of Europe’s leading research institutions, working with top universities worldwide to share knowledge and maintain its
-
or environmental assessment, and by developing annotation manuals and tests on a gold standard. This position is part of the ERC-funded project GeoTrAnsQData, which develops the foundations of a transformative GeoQA
-
background, gender, sexual orientation, disability or age. We strive to create a safe and inclusive environment in which everyone can flourish and contribute. To apply, please send your curriculum vitae
-
will develop and carry out the project under the supervision of Dr. Senka Neuman Stanivukovic, Dr. Ksenia Robbe, and Dr. Florian Lippert. Together, they bring expertise in environmental humanities
-
environment where you will have ample opportunity to develop your own research ideas on the topic; a position for 18 months with an extension to a total of four years after positive evaluation; a full-time
-
this, we know that the mammalian visual system utilizes "inductive biases"—inherent assumptions that streamline learning for specific environments. In this project, we aim to investigate how rapid learning