-
Department of Biology hosts internationally leading research activity in ecology, evolutionary biology, physiology, marine science and technology, and cell & molecular biology. As a PhD Candidate with us, you
-
, such as decision rights, transparency, human override, and visible oversight, shape perceptions of legitimacy. A particular focus is the boundary between AI-augmented leadership and de facto algorithmic
-
, but for example: University of Ulm (Germany): Algorithms for wearable data analysis University of Manchester (UK): Mathematical modeling of hormone rhythms Qualifications and personal qualities: We
-
algorithms and techniques at the MAC layer for fast anomaly detection, failure prediction, autonomous recovery, and performance resilience. Service-aware MAC layer techniques – develop novel MAC-layer
-
for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured biological (multi-view) high
-
is part of the Faculty of Medicine and Health Sciences at NTNU. It was established as a Centre of Excellence in 2002, 2012, and again in 2023. Our Centre of Excellence, the Center for Algorithms in
-
vendors remain difficult to identify and assess. These dependencies arise not only from technical limitations but also from interactions among algorithms, data flows, platform architectures, workflows, and
-
interpretable framework for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured
-
databases, information retrieval, data mining, or algorithms is expected. Excellent written and oral English language skills are required. The appointment is to be made in accordance with NTNUs guidelines
-
companies. The research will integrate techniques of numerical analysis and structure-preserving algorithms to generative modeling in AI. It will build upon the work done at IMF and SINTEF in this field. We