Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
Temporary contract | 24 months | Belvaux Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology
-
and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high-quality academics and professionals in order to boost its quality-oriented research
-
Position Description: Every great life-changing discovery begins the same way—with new knowledge. It can change everything, from a single life to the future of entire communities. That’s why
-
Laboratory, the medical campus Mannheim, and the Central Institute of Mental Health Mannheim. The life science and engineering campus at Heidelberg University offers a network of core technology platforms
-
research on a project to harmonize phenological data from sources such as the National Phenological Network, herbaria, and the National Ecological Observatory Network and perform analyses to understand
-
of NYUAD Wireless is to establish a globally recognized research and innovation hub dedicated to advancing the frontiers of wireless communications and shaping the networks of the future. As a newly
-
to develop applied research skills in machine learning, interact with an international network of collaborators, and gain post-doctoral research experience. The ideal candidate is self-motivated and can work
-
prevention of human diseases (e.g., Li et al., Nature Metabolism, 2024; Ni et al., Cell Metabolism, 2023; Leung et al., Science Translational Medicine, 2022; Seelbinder et al., Nature Communications, 2023
-
of microbial biogeochemistry Proficiency in scientific programming and data analysis using tools such as Python, R, MATLAB, or similar Excellent written and verbal communication skills in English
-
Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 2 months ago
, mathematics, and data science. Collaborative projects merge traditional geographic research with advanced computational methods such as graph neural networks (GNNs) and large language models (LLMs) to explore