Sort by
Refine Your Search
-
Category
-
Program
-
Employer
-
Field
-
Machine and Deep Learning – Applications and Case Studies in Business AI Agents and Agentic Workflows in Business Explainable AI (XAI) E-commerce, Web and Social Media Analytics Big data analytics
-
at SDU . Further information can be obtained from Professor Ewa Roos, Head of GLA:D International Network, tel. +45 6011 4331, e-mail: [email protected] , Professor Jonas Thorlund, Head of
-
PhD Position in Reversible Programming for Energy Efficient Cyber-Physical Systems (MSCA Doctoral...
position is doctoral candidate DC12, "Energy Efficiency in Cyber-Physical Systems", in the Marie Skłodowska-Curie Doctoral Network E-CoRe. The position is available from 1 January 2027, and the
-
resilience and risk management; Digital procurement and e-sourcing; Strategic supplier relationship management Advanced Financial Statement Analysis Detecting earnings management and accounting manipulation
-
immersive virtual/augmented/extended (VR/AR/XR) environments to support learning of scientific concepts and practices at the university-level. The main aim of this work package is to investigate how such
-
-driven operation of ships – Energy efficiency and predictive maintenance, digital twins, and the use of machine learning and sensor data to optimize vessel operation and efficiency. Seakeeping and
-
to engage in application projects. Our section is composed of a mixture of researchers working in statistics and machine learning. While the position is open to all candidates engaged in research and
-
, at man inden for en toårig periode har gennemført fakultetets vejledningskursus samt fakultetets kursus i Online og blended learning ved Centre for Educational Development ved Aarhus Universitet
-
Statistical and computational Methods for Advanced Research to Transform biomedicine (SMARTbiomed) within the field of statistical and machine learning methods development for genetic analysis and causal
-
resources, AI and machine learning environments, data-intensive workflows, and scientific applications. Today, the platform serves tens of thousands of users across the Danish research community and