104 programming-"https:"-"Data-driven-Materials-Modeling" PhD positions in Netherlands
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Twente
- Utrecht University
- Radboud University
- European Space Agency
- University of Groningen
- Eindhoven University of Technology (TU/e)
- Erasmus University Rotterdam
- Naturalis
- University of Amsterdam
- Vrije Universiteit Amsterdam
- AMOLF
- Erasmus MC (Universitair Medisch Centrum Rotterdam)
- European Magnetism Association EMA
- Maastricht University (UM)
- Radboud University Medical Center (Radboudumc)
- The Open Universiteit (OU)
- University Medical Center Utrecht (UMC Utrecht)
- University of Amsterdam (UvA)
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- 10 more »
- « less
-
Field
- Computer Science
- Earth Sciences
- Environment
- Engineering
- Psychology
- Materials Science
- Biology
- Social Sciences
- Physics
- Medical Sciences
- Chemistry
- Education
- Humanities
- Science
- Electrical Engineering
- Law
- Linguistics
- Business
- Design
- Economics
- Philosophy
- Statistics
- Mathematics
- Sports and Recreation
- 14 more »
- « less
-
Home > JOBS Ultrafast Magnetism in Frustrated Materials [ All offers ] 2026-07-24 | PhD Lab/Company : HFML-FELIX Location : Nijmegen, Netherlands Yearly income : https://www.nwo-i.nl/en/vacancies/phd
-
, building, programming, and validating measurement setups. You have experience with, or are motivated to learn, digital signal processing and analysis of time-domain measurement data. You have programming
-
help unlock the data needed for the energy transition? In the NWO-funded SHARE project, you will develop AI models that generate realistic, privacy-preserving synthetic energy data for grid planning
-
sensor data, and in situ data Comfortable with programming or scripting in Python or R for data analysis and for bringing your models to the data Good communication skills and an excellent command of
-
modeling in extremes are limited to scenarios where all variables are simultaneously large. Such assumptions are often unrealistic, and can therefore result in inadequate models. This project
-
A master’s degree in computer science, mathematics, or a related subject. Experience with functional programming (e.g., Haskell) or proof assistants (e.g. Rocq, Agda, Lean). Good communication skills
-
(satellite) earth observation (e.g., radiative transfer modelling, data-driven (ML/DL) modelling, time-series, data assimilation), and willingness to delve deeper into these topics. Good programming skills
-
; · build physics-informed and hybrid AI models that combine geophysical knowledge with data-driven approaches; · contribute to the development of dynamic digital twins for subsurface monitoring
-
-owned enterprises and private undertakings. This interdisciplinary project follows a mixed methods approach, combining doctrinal legal research with data-driven, experimental and qualitative methods
-
(preferred but not mandatory) : Prior experience with experimental techniques , especially in optical microscopy and colloidal particle synthesis , is considered a strong asset. Programming and Data