Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft); Delft
- University of Groningen
- Eindhoven University of Technology (TU/e)
- Leiden University
- CWI
- Delft University of Technology (TU Delft)
- University of Twente
- University of Twente (UT)
- Radboud University
- Eindhoven University of Technology (TU/e); Eindhoven
- Leiden University; Leiden
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- Utrecht University
- Wageningen University & Research
- Wageningen University and Research Center
- AMOLF
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- Vrije Universiteit Amsterdam (VU)
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus MC (University Medical Center Rotterdam); Rotterdam
- GFZ Helmholtz Centre for Geosciences
- Leibniz
- Max Planck Institute for Sustainable Materials •
- Norwegian Meteorological Institute
- Radboud University Medical Center (Radboudumc)
- Radboud University Medical Center (Radboudumc); Nijmegen
- Radix Trading LLC
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Technical University of Denmark
- Universiteit van Amsterdam
- University Medical Centre Groningen (UMCG)
- University Medical Centre Groningen (UMCG); Groningen
- University of Münster •
- University of Twente (UT); Enschede
- Utrecht University; Utrecht
- 27 more »
- « less
-
Field
-
questions. Given the uncertainties involved in food supply chains, we prefer candidates who have a background in (stochastic) optimization methods (e.g., machine learning, stochastic dynamic programming
-
collaborative labs develop and deploy the latest technology, including sensing, data analytics, modelling, simulation, artificial intelligence, and machine learning, and function as dynamic hubs where innovative
-
includes PhD students and researchers at TU Delft, Wageningen University and Research, and Erasmus University Rotterdam, as well as industrial partners that specialize in machine learning, climate control
-
we offer: A 4-year fully funded PhD position at TU Delft. The opportunity to lead a pioneering project at the intersection of mechanics, materials, and machine learning. Collaboration with
-
Interventions Our goal: To make digital health interventions more effective by predicting and improving adherence through Artificial Intelligence (AI) and machine learning (ML). Your colleagues
-
this position, the chosen candidate will conduct research on how machine learning techniques or XAI can be leveraged by heuristic algorithms, or conversely, how heuristics can be enhanced by incorporating machine
-
engineering Engineering » Design engineering Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 5 Oct 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable
-
challenges. As a part of your PhD research you will regularly visit our industrial and scientific partners to learn about the challenges and constraints. You will also study the problem in detail with
-
protocols, ITC will focus on the monitoring and response parts, building on many earlier projects revolving around the use of UAV/drones, computer vision and machine learning, change and damage detection, and
-
in Austria. We are seeking a PhD candidate on predicting adherence to digital health-promoting interventions with Artificial Intelligence (AI) and machine learning (ML) techniques. You will develop AI