Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Utrecht University
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA)
- Wageningen University & Research
- Leiden University
- University of Groningen
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- Maastricht University (UM)
- European Space Agency
- University of Twente
- Radboud University
- Erasmus University Rotterdam
- University Medical Center Utrecht (UMC Utrecht)
- Naturalis
- Radboud University Medical Center (Radboudumc)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- University Medical Centre Groningen (UMCG)
- University of Utrecht
- ARCNL
- Amsterdam UMC
- Erasmus University Rotterdam (EUR)
- KNAW
- NIOZ Royal Netherlands Institute for Sea Research
- Princess Máxima Center for Pediatric Oncology
- SRON
- Tilburg University
- Universiteit Leiden
- 19 more »
- « less
-
Field
- Computer Science
- Biology
- Engineering
- Economics
- Medical Sciences
- Chemistry
- Earth Sciences
- Science
- Materials Science
- Mathematics
- Philosophy
- Humanities
- Psychology
- Business
- Physics
- Social Sciences
- Sports and Recreation
- Arts and Literature
- Education
- Electrical Engineering
- Environment
- Design
- 12 more »
- « less
-
multidimensional feature space of visual information to support data-driven journalism. This includes experiments for accountability, transparency, inclusiveness, and misinformation. The key technology is multimodal
-
… Requirements Specific Requirements We seek candidates who are motivated about eMRV research, can lead field campaigns, and are self-driven and can work independently and with a team. Applicants should hold a PhD
-
experiments; collecting, processing and analysing eye-tracking and pupil data; contributing to the development of new experimental paradigms for studying attention; collaborating with PhD candidates and other
-
Welcome to Maastricht University! You just finished your PhD trajectory and looking for the next step in your academic career? Your interests lie in the field of machine learning techniques
-
feedbacks and identify thresholds that govern transitions between climate states. This project will provide a unique geological perspective on the mechanisms and sensitivities of the carbon cycle by producing
-
by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in data science, AI, computer science, machine learning, aerospace engineering
-
Mediterranean-wide setting. Your qualities Knowledge, skills and experience: A PhD (awarded or in the final stages of completion) in sustainability science, urban planning and governance, human geography, policy
-
fit to this project; An academic transcript of BSc, MSc and PhD education, including grades; Full Curriculum Vitae, contact information for at least two academic references, and if applicable, a list of
-
in close collaboration with Sjoerd Dirksen , Johannes Maly , and a PhD student that will start at the Ludwig-Maximilians-Universität (LMU) in Munich, Germany. During the project, you will spend two
-
Conducting rigorous research at the intersection of ML and wildlife bioacoustics; Actively participating in regular group and one-on-one meetings; Co-supervising Bachelor’s, Master’s, and PhD students