Sort by
Refine Your Search
-
Listed
-
Employer
- Utrecht University
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA)
- Wageningen University & Research
- Tilburg University
- Radboud University
- University of Twente (UT)
- European Space Agency
- Radboud University Medical Center (Radboudumc)
- Leiden University
- NIOZ Royal Netherlands Institute for Sea Research
- Vrije Universiteit Amsterdam (VU)
- AMOLF
- ARCNL
- Amsterdam UMC
- Delft University of Technology (TU Delft); Published yesterday
- Erasmus MC (University Medical Center Rotterdam)
- Maastricht University (UM)
- University Medical Centre Groningen (UMCG)
- University of Amsterdam (UvA); Published yesterday
- University of Twente
- 12 more »
- « less
-
Field
-
they learn, PRL134, 147402 (2025). Qualifications We seek candidates with: A PhD in physics, applied mathematics, materials science, mechanical engineering, computer science, or a related field. Strong
-
in data integration, model design, and large-scale training by combining multi-modal scientific data, knowledge graphs, physics-aware machine learning, and GPU/HPC computing to develop transparent and
-
Deadline 19 Mar 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 36.0 Is the job funded through the EU Research Framework Programme? Not funded by a
-
conferences. support the teaching activities at the faculty (up to 10% of the time). What we ask of you A PhD in Machine Learning, Computer Science, Mathematics, Statistics, Physics or a closely related field
-
are familiar with dendritic signal processing and/or optical physiology. You have experience in molecular biology and are familiar with, or interested in, physics‑oriented research and/or computational
-
of receiving their PhD. In particular for this position, the following is required: PhD in data science, AI, computer science, machine learning, Earth system science, climate etc., with a thesis subject relevant
-
process of setting up this intervention, we are very much looking forward to your input. You will set up and conduct the intervention, together with the PhD candidate and student-assistants. You will
-
, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do so, driven by curiosity and supported by
-
of ultracold atom experiments to new reals of AMO physics. You also should have a recent PhD in experimental ultracold atom or trapped ion physics. great team working skills. initiative and good time management
-
parametric sensitivity and worst-case analysis. To fulfil the above objectives, the proposed programme of work for the Research Fellowship is the following: Year 1: Detailed problem formulation, setup