Sort by
Refine Your Search
-
Employer
-
Field
-
(programming, digital signal processing, modelling, statistics) is sought. The project involves collaboration with Prof. Marco Steinhauser (University of Eichstätt-Ingolstadt, Germany) and Dr. Ramakrishna
-
(programming, digital signal processing, statistics) is sought. Qualifications Ideally, applicants for the position should satisfy the following requirements: PhD degree in psychology, cognitive (neuro)science
-
(programming, digital signal processing, modelling, statistics) is sought. The project involves collaboration with Prof. Marco Steinhauser (University of Eichstätt-Ingolstadt, Germany) and Dr. Ramakrishna
-
vision and strong analytic and quantitative skills (programming, digital signal processing, statistics) is sought. Qualifications Ideally, applicants for the position should satisfy the following
-
theory, physics, mathematics, computer science, and statistics. This Postdoc position falls under Research Thrust RT4 on Reliability and Trustworthiness. The objective is to explore and address research
-
clinical psychology, psychiatry, mathematical modelling and statistics, led by Associate Professor Maria Semkovska in a collaboration between the Department of Psychology, Odense University Hospital and the
-
, mathematics, computer science, and statistics. This Postdoc position falls under Research Thrust RT4 on Reliability and Trustworthiness. The objective is to explore and address research and design challenges
-
Scandinavia (SALiCCS) and Statistics Denmark. The focus of the research project will be to assess the risk of pregnancy and delivery complications, including preterm birth and caesarean section, among female
-
Computational Science Data Science and Statistics Geometry, Topology and Algebra Learning Experience Design Our department offers an inclusive and international working environment with state-of-the-art
-
observational data on public service quality Integrate multiple data sources to create comprehensive datasets Conduct quantitative analyses using advanced statistical methods Collaboration and Dissemination: Work