Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- University of Groningen
- Wageningen University and Research Center
- University of Twente
- European Space Agency
- CWI
- Eindhoven University of Technology (TU/e)
- Leiden University
- Delft University of Technology (TU Delft)
- Erasmus University Rotterdam
- Radboud University
- Radboud University Medical Center (Radboudumc)
- University of Amsterdam (UvA); Amsterdam
- University of Twente (UT)
- University of Twente (UT); Enschede
- Wageningen University & Research
- Eindhoven University of Technology (TU/e); Eindhoven
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- VU Amsterdam
- 11 more »
- « less
-
Field
-
The research will address key challenges and explore the following areas: 1. Decentralized Scheduling Algorithms: Design algorithms for operational scheduling and rescheduling of shared assets in connected
-
between the groups of Dr. Alessandra Candian and Dr. Daniela Huppenkothen (both API ) and Prof. Wybren Jan Buma (HIMS ), funded by the Molecular and Materials design program (MMD Hub ) of the Faculty
-
low-resource settings. This position is jointly supervised by Prof. Teun Bousema (malaria epidemiology) and Dr. Felix Hol (vector biology), ensuring strong scientific guidance across disciplines. It
-
, reconstruction algorithms, and data acquisition techniques to ensure high-quality inputs. Collaborate with clinicians: Work with medical specialists to validate the clinical utility of your algorithms and ensure
-
ultrasound physics, reconstruction algorithms, and data acquisition techniques to ensure high-quality inputs. Collaborate with clinicians: Work with medical specialists to validate the clinical utility of your
-
/FMG) and Dr Elisabeth Krueger (IBED/FNWI). The research team will also consist of Prof Maria Kaika, (UP/FMG), and Dr Mark van de Veen (FEB). What are you going to do As a Postdoc, you will be
-
deep learning algorithms. We welcome applications from individuals with experience in: Experience developing deep learning models for real-time image/video segmentation, object tracking, reinforcement
-
algorithms that maximize the information extracted from images and delivered to the robot. To be successful in this role, we are looking for candidates to have the following skills and experience. We welcome
-
eligible for a tax exemption on a part of their salary during the first five years in the Netherlands. Selection process For more information about this position, please contact Prof. Johan van Leeuwen
-
Do you recognize yourself in this profile and would you like to know more? Please contact dr. Chengmin Li (c.li7@tue.nl ), Prof. George Papafotiou (g.papafotiou@tue.nl ). Visit our website for more