Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
epidemiology and biology of infection, which is a fully funded, four-year PhD student position. Data-driven life science Research School Data-driven life science (DDLS) uses data, computational methods, and
-
employeeship and offers safe, favourable working conditions? We welcome you to apply for a PhD position at Uppsala University. The Department of Information Technology holds a leading position in both research
-
life science doctoral student in Data-driven epidemiology and biology of infection, which is a fully funded, four-year PhD student position. Data-driven life science Research School Data-driven life
-
We invite you to apply for a 2-year postdoctoral position in the area of hybrid AI, combining modern language models (LMs) with ontologies and knowledge graphs (KGs). The position is part of a newly
-
Design and Software Engineering , we design smarter ways to engineer better software, and explore how people engage with digital systems, combining global research perspectives with strong collaboration
-
and Engineering. About us You will join the Healthy AI Lab , a research group led by Associate Professor Fredrik Johansson , that develops machine learning methods and theory to improve data-driven
-
. Is proficient in modern statistical modelling, AI & machine learning methods (e.g. system identification, regression models, Bayesian methods, deep learning). Is an experienced programmer in R and/or
-
visible research, strong industry links and diverse environment create a collaborative setting where ideas grow into real impact. At the division of Interaction Design and Software Engineering , we design
-
learning for software security. The position is for four years of full-time doctoral studies at the Department of Computing Science, where you will be able to work in a dynamic environment with 170 employees
-
the cloud–edge–device continuum, while meeting strict performance and sustainability constraints. The PhD position will focus on the modelling, design, analysis, and validation of data-driven solutions for 6G