185 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" Postdoctoral positions in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
. Join us at the Department of Electrical and Computer Engineering, Aarhus University, where we are developing semantic-aware communication that leverage edge AI, semantic reasoning, and efficient time
-
Job Description Are you passionate about nutrition, food safety, and the transition to sustainable diets? Do you have a strong interest in modelling and want to contribute to the development
-
in natural systems. However, the occurrence and significance of dark oxygen production in natural systems remain unknown. A key task for the successful candidate is to develop and employ experimental
-
Job Description Are you worried about the coastal regions in an era of climate change and plastic pollution? Do you want to play a part in the development of a novel numerical model that can shed
-
innovation with biological insight, we aim to develop high-quality molecular tools and contribute to the discovery of new treatment strategies. Our research group includes postdocs, PhD students, MSc students
-
diseases such as type 2 diabetes and fibrotic disorders. By uniting chemical innovation with biological insight, we aim to develop high-quality molecular tools and contribute to the discovery of new
-
the genetic basis of bacterial traits that determine successful symbiosis and microbiome interactions. This knowledge forms the foundation for the development of novel, microbe-based solutions to reduce the
-
experience in developing competitive national and international research applications Experience in programming languages (e.g. Python/R) and analytical skills in model evaluation Experience in advanced
-
-researched, and there is a need to develop methodology that can compare various methane-reducing additives and feed stuffs for their acceptability to dairy cows and their potential welfare risks in terms
-
). This position focuses on the machine learning methodology of the project, aiming to: Develop probabilistic spatio-temporal models that integrate uncertainty from climate projections into land-use forecasts