140 algorithm-development "https:" "Simons Foundation" Postdoctoral positions in Netherlands
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Utrecht University
- University of Amsterdam (UvA)
- Leiden University
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Radboud University
- Tilburg University
- Wageningen University & Research
- European Space Agency
- University of Twente
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- Amsterdam UMC
- Erasmus MC (University Medical Center Rotterdam)
- KNAW
- NIOZ Royal Netherlands Institute for Sea Research
- Radboud University Medical Center (Radboudumc)
- AMOLF
- ARCNL
- DIFFER
- Erasmus University Rotterdam
- Maastricht University (UM)
- Nature Careers
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- University Medical Centre Groningen (UMCG)
- 15 more »
- « less
-
Field
-
: Postdoc in the field of biomolecular condensates What you will do The postdoctoral researcher will develop innovative biophysical assays to study the formation of biomolecular condensates and to monitor
-
to develop generative AI methods for nanoparticle drug delivery design, at the intersection of machine learning, explainability, and pharmaceutical nanotechnology. Job description We are looking for a
-
working with large datasets, modelling, and developing innovative ideas? Are you a creative researcher looking to build your profile for future career opportunities? If so, the Landscape Dynamics group is
-
would like to receive a brief outline of how you would like to conduct research on this question. Where to apply Website https://www.academictransfer.com/en/jobs/358748/post-doctoral-researcher-for-th
-
responses to jihadist armed groups in Africa, analysing variation in state repression, community resistance, and the evolution of security across Mali, Nigeria, and Mozambique. Violence by jihadist armed
-
, the project works closely with people with disabilities, disability organizations, policymakers, care professionals, and technology developers. The project is structured around three work packages: WP1
-
, the fusion community has started to develop fast surrogate models based on Machine Learning / AI models to speed up significantly the employed tools. Such tools have demonstrated to be generally applicable and
-
that works closely with the project leader, the project manager, and the CollectieveKracht Opens external team to co-manage the scientific and organisational development of ECCO. Rather than focusing
-
throughout the early phases of missions, including participation in CDF and phase A/B1. The Team also provides expertise to other projects and studies, including research and development of tools and methods
-
to identify strategies increasing their inclusion. Then, it examines challenges experienced by teaching and supporting staff in applying these strategies through a newly developed dilemma game to produce