The page you were trying to view does not exists or may have expired. Below are the list of similar positions in our database.
Similar Posts
-
taken relevant courses in teaching and learning in higher education. Documented knowledge and proven experience in optimization or machine learning are required. In addition, good programming skills
-
taken relevant courses in teaching and learning in higher education. Documented knowledge and proven experience in optimization or machine learning are required. In addition, good programming skills
-
approaches and reduced-order models. It will lead to the development of efficient machine learning models that will be used in a global optimization framework. The first step is to determine the most
-
machine learning will provide the key to innovative, highly scalable methods for learning, analysis, synthesis and optimization of cyber-physical systems. Based on preferences, the candidates will work
-
particular, you will be a member of the Stochastic Operations Research group, which focuses on evaluating and optimizing the performance and reliability of large-scale systems that operate in the presence
-
proper decisions. The trade-off between safety and greediness are assessed using stochastic constrained optimization. At the outset, it is assumed that the mathematical model of the system is known
-
27 Feb 2024 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Technology Researcher Profile First Stage Researcher (R1) Country Netherlands Application
-
, demonstrated on problems in geophysics. The Ph.D. candidate will research methods for optimization and explainable machine learning in the context of Earth science and geophysic. Emphasis will be on bio
-
communication, a trial lecture and public defence. Read more about the PhD education at UiS on our website. The appointment is for three years with research duties exclusively. Research topic The PhD Fellow will
-
renowned research spanning many fields and including information and communication theory, machine learning, and signal processing. We offer a dynamic, supportive, international research environment with