Sort by
Refine Your Search
-
to data-driven (machine-learned) representations. In particular, we are interested in the joint applicability of such models and to what extent simpler models (possibly based on machine learning) can be
-
-performance computing, via reduced-order models to data-driven (machine-learned) representations. In particular, we are interested in the joint applicability of such models and to what extent simpler models
-
will provide input to systematic user studies and publications. Valued competencies and skills may include some of the following: programming, statistics, machine learning, data analysis, and/or UI
-
to machine learning and artificial intelligence is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills. Applicants must be
-
. Familiarity with research relating to machine learning and artificial intelligence is an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative
-
. The position is open to either an incoming or an outgoing candidate, see LEAD AI mobility rules About the host research group and research theme Manifold learning is a crucial concept in the fields of machine
-
(for instance mathematics, statistics, medicine with a strong emphasis on computational and programming aspects). Experience in machine learning is a requirement. Experience with programming and app development
-
computational and programming aspects). Experience in machine learning is a requirement. Experience with programming and app development will be emphasized. Personal skills, including independence, abilities
-
specific research questions. While the group has started to apply machine learning tools to a number of data sets, the seismic network still operates based on conventional tools. Objectives of this position
-
(BEM) is an advantage. Experience with either scientific computing or numerical optimization is an advantage. Experience with unsupervised machine learning is also an advantage. Applicants must be able