Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft); Delft
- Leiden University
- University of Groningen
- CWI
- Eindhoven University of Technology (TU/e)
- Radboud University
- University of Twente
- University of Twente (UT)
- Delft University of Technology (TU Delft)
- Leiden University; Leiden
- Wageningen University and Research Center
- Eindhoven University of Technology (TU/e); Eindhoven
- Maastricht University (UM); Maastricht
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus MC (University Medical Center Rotterdam); Rotterdam
- Maastricht University (UM)
- Radix Trading LLC
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Utrecht University; Utrecht
- Wageningen University & Research
- 14 more »
- « less
-
Field
-
you eager to make AI more sustainable? As a PhD Candidate, you will develop innovative methods for predicting and reducing the energy consumption of large-scale AI systems during their design phase
-
UC Berkeley after obtaining her PhD from the University of Amsterdam for which she did research at MIT and Sigma Computing. Her general research interest is on the intersection of machine learning
-
of Amsterdam. Interested in developing fundamental machine learning techniques for tabular data to democratize insights from high-value structured data? Then this fully-funded 4-year PhD position starting Fall
-
mechanics at the atomic scale. In this project, the University of Groningen will develop an array of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant
-
University. Requirements A master’s degree in (applied) mathematics (or related), with a strong background in computational methods, preferably also using computational frameworks for machine learning in
-
networks, or network science, and relevant background knowledge n methods in machine learning and AI. The successful candidate will focus on innovating the field of network analysis with AI methods. Examples
-
Machine Learning Problems > Constantly questions finance/trading data and stays motivated to seek answers despite most often proving that there is no correlation or signal > Experience in setup of research