-
statistics, engineering physics, physics, machine learning, or in a similar subject, or have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including
-
Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
skills to join our research team. The PhD candidate should have: A Master’s degree (or comparable) in theoretical physics, applied mathematics or related disciplines from a recognized university; Strong
-
quantification, and interpretation. Account for structures arising from spatial relationships, physical constraints, high-dimensional imaging, and clinical covariates. Apply the resulting methods to spatial
-
, identifiability, uncertainty quantification, and interpretation. Account for structures arising from spatial relationships, physical constraints, high-dimensional imaging, and clinical covariates. Apply
-
of many-body physics, realizing unprecedented phases of matter characterized by their quantum-information content. This doctoral project addresses a central question for quantum technologies: how can the
-
find a suitable candidate, we will arrange an interview. We therefore recommend applying at your earliest convenience. Screening is part of the selection process. Website for additional job details https
-
health data science in an interdisciplinary setting. The research will be performed in close collaboration with The Department of Mathematical Sciences, Faculty of Engineering and Science, Aalborg
-
in practice when the dimension of the data-generating process exceeds the sample size, this project will contribute by developing the distributional properties of generalized inverses of the high
-
. The position covers four years of doctoral studies, including participation in research and doctoral courses. The last day to apply is July 12th, 2026. Project description and tasks Spatial data arise in several