Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- Utrecht University
- Delft University of Technology (TU Delft)
- Radboud University
- University of Twente
- CWI
- Leiden University
- Wageningen University & Research
- Eindhoven University of Technology (TU/e)
- Maastricht University (UM)
- University Medical Centre Groningen (UMCG)
- University of Amsterdam (UvA)
- Wageningen University and Research Center
- ; Max Planck Institute for Psycholinguistics
- Eindhoven University of Technology
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus University Rotterdam
- Radix Trading LLC
- Tilburg University
- 9 more »
- « less
-
Field
-
-GUIDE project, we will make directed evolution guidable and, ultimately, predictable by machine learning. Specifically, you will build a first-in-class framework to expedite the design of high-affinity
-
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
-
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
-
of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant for the new green steels compositions, including impurities and tramp elements. These models should enable
-
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
-
Your job Are you looking for a PhD position where you develop state-of-the-art machine learning methods for the life sciences (geometric deep learning, transformer-based approaches, ...) with a
-
related to staff position within a Research Infrastructure? No Offer Description Are you looking for a PhD position where you develop state-of-the-art machine learning methods for the life sciences
-
, ultimately, predictable by machine learning. Specifically, you will build a first-in-class framework to expedite the design of high-affinity binders that engage with therapeutic targets or efficient (bio
-
. This is a unique opportunity to contribute to the foundations for tomorrow’s machine learning. Your job The FoRECAST project aims to develop theory (e.g., categorical semantics and denotational correctness
-
Responsibilities: Program research ultrasound machines for high volume rate ultrasound imaging. Develop machine learning models for automated analysis of high volume rate ultrasound imaging. Design and execute