Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Bayesian statistical and machine learning methods for treatment response prediction using clinical information, molecular characterizations of the tumor and results of in vitro drug response experiments with
-
aimed at developing novel Artificial Intelligence–based methods and software to assist physicians with: Disease classification Treatment decision support What-if analyses. Although the developed methods
-
of individual heterogeneity, estimation using machine learning methods and particular challenges present when studying infectious diseases. An overall goal of the project is to improve current practice in
-
» Autonomic computing Engineering » Maritime engineering Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 18 Apr 2026 - 23:59
-
and so on is often cost and space prohibitive. Here therefore, the focus is on methods to enable robotic platforms to perform certain tasks in collaborative mode, such that they can be shifted from task
-
. The project will contribute to research within human–computer interaction and human factors on topics including: human–AI teaming in safety-critical work AI transparency and explain-ability in operational
-
on the analysis of complex event history data, with some relevant topics being the analysis of outcomes under competing risks, studies of individual heterogeneity, estimation using machine learning methods and
-
plant research and methods including growth analysis and gas exchange measurements Knowledge and/or interest in whole plant physiology (from soil to plant) Good computational skills and a working
-
, employing multivariate analysis (MVA) and advanced data-driven approaches, including artificial intelligence (AI) methods. The material mapping results will be validated using complementary analytical
-
the development of methods or frameworks to support secure and trusted data sharing for maritime AI model development. Depending on the candidate’s background and the project’s progression, the research