Sort by
Refine Your Search
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- University of Amsterdam (UvA)
- Eindhoven University of Technology (TU/e)
- Radboud University
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- Maastricht University (UM)
- Amsterdam UMC
- University of Groningen
- University of Twente
- Radboud University Medical Center (Radboudumc)
- University of Twente (UT)
- Leiden University
- University Medical Center Utrecht (UMC Utrecht)
- Centrum Wiskunde en Informatica (CWI)
- Erasmus MC (University Medical Center Rotterdam)
- Hotelschool The Hague
- KNAW
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Tilburg University
- AMOLF
- ARCNL
- Amsterdam UMC, location VUmc
- Erasmus University Rotterdam
- Fryske Akademy
- HFML-FELIX
- Naturalis
- Sanquin Blood Supply Foundation (Sanquin)
- TU Delft
- The Open Universiteit (OU)
- University Medical Center Groningen
- University Medical Centre Groningen (UMCG)
- 23 more »
- « less
-
Field
-
machine learning and AI, probabilistic risk modelling, hydrology and actuarial science. We realize that candidates will usually have expertise in one of these fields and ask for a genuine interest in the
-
applications based on the following skillsets. If you do not fullfil all requirements, please still apply (there is room for learning-on-the-job). An engineering degree, preferably, aerospace or mechanical
-
self-assembly of ligand building blocks will be generated and explored. Detailed kinetic data gathered during these studies will also contribute to machine learning (ML) approaches in collaboration with
-
machine learning. You will develop and evaluate AI-driven visual speech recognition models and contribute to their integration into a smart-glasses prototype. The system aims to convert non-vocalized lip
-
. Through inspiring training sessions, mindfulness activities, and caregiver consultation hours, we support you in every phase of your life. Growth and development Our online learning environment offers a
-
) with computational methods. The candidate will obtain single-molecule multiplexing data and validate machine learning predictions using the high-throughput data. The successful candidate will collaborate
-
learning environment offers a wide range of training courses, e-learnings, and educational programs—from professional specialization to personal development. This allows you to keep growing and make the most
-
imaging. Experience with scientific programming (e.g., MATLAB, Python and/or C++). Excellent analytical and problem-solving skills. Interest in image reconstruction, beamforming, machine learning, and
-
phase of your life. Growth and development Our online learning environment offers a wide range of training courses, e-learnings, and educational programs—from professional specialization to personal
-
researchers from diverse backgrounds. Good communication skills and a willingness to learn are important for working effectively within and beyond the consortium. Candidates should hold a Master’s degree in