Sort by
Refine Your Search
-
Employer
- University of Groningen
- Delft University of Technology
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology
- Leiden University
- Radboud University Medical Center (Radboudumc)
- University of Amsterdam
- University of Amsterdam (UvA)
- Utrecht University
- Eindhoven University of Technology (TU/e)
- Erasmus University Rotterdam
- Tilburg University
- University Medical Centre Groningen (UMCG)
- Vrije Universiteit Amsterdam
- 4 more »
- « less
-
Field
-
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Operate at the exciting intersection between fundamental and applied mental health research! We
-
. We want to strengthen our research on the impact of social roles (e.g., grandparents) for individual differences in aging successfully (e.g., psychological, mental, physical, social health and well
-
. These projects are dedicated to improving the overall health and well-being of older individuals in long-term care settings, with a focus on resilience, vulnerability management, and technology acceptance
-
project will be to develop machine learning models capable of robustly classifying images of agricultural crops based on markers for health state of the crop and deploying those models on a variety of low
-
Job related to staff position within a Research Infrastructure? No Offer Description Within the dTHOR (digital ship sTructural Health mOnitoRing) project of the European Defence Fund, the aim is to
-
interdisciplinary team on the nationally funded projects. These projects are dedicated to improving the overall health and well-being of older individuals in long-term care settings, with a focus on resilience
-
admissions. When symptoms are not consistently assessed, health care providers may fail to recognize or underestimate their severity and impact, leading to suboptimal care. Furthermore, a common challenge in
-
staff position within a Research Infrastructure? No Offer Description Genomic surveillance of infectious diseases has been a revolutionary public health success and a critical tool in elucidating pathogen
-
images of agricultural crops based on markers for health state of the crop and deploying those models on a variety of low-power edge devices. The goal of the project is to enable precision farming
-
project through DigiAgro3 2024. The main goal of the post-doc project will be to develop machine learning models capable of robustly classifying images of agricultural crops based on markers for health