Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- Radboud University
- University of Twente
- Wageningen University and Research Center
- Leiden University
- Eindhoven University of Technology (TU/e)
- University of Twente (UT)
- Utrecht University
- CWI
- Erasmus University Rotterdam
- Leiden University; Leiden
- Maastricht University (UM)
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Twente (UT); Enschede
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e); Eindhoven
- Maastricht University (UM); Maastricht
- Radboud University; Nijmegen
- Vrije Universiteit Amsterdam (VU); Amsterdam
- Delft University of Technology
- Delft University of Technology (TU Delft); Delft
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus MC (University Medical Center Rotterdam); Rotterdam
- KNAW
- Radboud University Medical Center (Radboudumc); Nijmegen
- Radix Trading LLC
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Universiteit van Amsterdam
- University Medical Center Utrecht (UMC Utrecht)
- University Medical Center Utrecht (UMC Utrecht); Utrecht
- University of Groningen; Groningen
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- 24 more »
- « less
-
Field
-
between Christmas and 1 January; multiple courses to follow from our Teaching and Learning Centre; a complete educational program for PhD students; multiple courses on topics such as time management
-
to make viable trading decisions under high price volatility. This PhD position focuses on designing, developing, and evaluating self-learning energy trading algorithms that are able to cope with
-
-learning energy trading algorithms that are able to cope with these challenges. By leveraging real-time data, developed algorithms continuously adapt to market dynamics and respond to changing market signals
-
, development of data (pre-)processing pipelines, and machine learning model training to identify relevant biological states of the liver (e.g., healthy, recovering, not healthy). The (soft) sensor development
-
for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual
-
. Analytical skills, initiative and creativity are highly desired. You are a naturally curious person who is eager to learn more and has a strong interest in research. Excellent written and oral
-
creativity are highly desired. You are a naturally curious person who is eager to learn more and has a strong interest in research. Excellent written and oral communication skills in English are a prerequisite
-
robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning and neural networks for chemical property prediction. You will be part
-
Computational Fluid Dynamics (CFD) models; data-based models determined from training/calibration data by system/parameter identification and machine learning. The key challenge is striking a balance between, on
-
through our research to issues from all around the world. Our six faculties combined provide a comprehensive package of study programmes and research. In our teaching, we use the Problem-Based Learning (PBL