Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine learning in general. OCBE has numerous collaborations with
-
the extent to which these shortages affected the standard of living and post-war consumption habits of households. The project will focus on one major blockaded belligerent (e.g., Germany, or Austria-Hungary
-
artistic development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Experience in machine learning methods and
-
the SFF Integreat, The Norwegian Centre for Knowledge-driven Machine Learning (ML) , a centre of excellence funded by RCN and in operation until 2033. The project PI and team are also in close collaboration
-
interdisciplinary center with joint efforts in theory, computer simulations and experiments, both in fundamental and in more applied directions. The center works to advance the understanding of porous media by
-
, machine learning techniques, and programming is highly desirable. Genuine interest in deep graph neural networks models. Personal characteristics To complete a doctoral degree (PhD), it is important that
-
relevant background within control, building, or HVAC engineering. A background in applied mathematics can also be relevant if there is a strong focus on data-driven modeling, machine learning, and control
-
mechanics and AI. This project will advance precision medicine through collaboration with experts in cardiology and machine learning. The mitral valve (MV) ensures one-way blood flow between the left atrium
-
or machine learning frameworks Good oral and written presentation skills in a Scandinavian language at level A2 or higher Personal characteristics To complete a doctoral degree (PhD), it is important that you
-
on ROS2 (Robot Operating System) and best practice of use of Github. Knowledge and skills on methods in numerical optimization, machine learning, as well as knowledge on marine power and control systems