Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Utrecht University
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- European Space Agency
- University of Amsterdam (UvA)
- Wageningen University & Research
- Leiden University
- University of Twente (UT)
- University of Twente
- Radboud University
- Amsterdam UMC
- Erasmus MC (University Medical Center Rotterdam)
- Maastricht University (UM)
- Tilburg University
- University Medical Center Utrecht (UMC Utrecht)
- Vrije Universiteit Amsterdam (VU)
- ;
- AMOLF
- ARCNL
- DIFFER
- Eindhoven University of Technology
- Erasmus University Rotterdam
- NLR
- Nature Careers
- Netherlands Heart Institute
- Radboud University Medical Center (Radboudumc)
- Radix Trading LLC
- 17 more »
- « less
-
Field
-
-of-the-art techniques. Image/data processing skills in Python or Matlab. Proficiency in written and spoken English. Doing a PhD at TU Delft requires English proficiency at a certain level to ensure
-
interest in stress and cognition research. A master's degree is preferred, and experience with programming in R or Python, signal processing, or qualitative analysis is a plus. This is a full-time, one-year
-
development and/or cloud systems. You have affinity with science and AI. You enjoy working in a multidisciplinary team. You are familiar with the following technologies: python, Git, SQL, typescript and Docker
-
Method (FEM) Numerical simulation (e.g. Abaqus, UMAT) and coding experiences (Python, Fortran) are a must Additional Information Benefits We offer a position in an inspiring, multidisciplinary and
-
design and digital signal processing. Hands-on RTL design skills (SystemVerilog / Verilog / VHDL) plus scripting (Python / MATLAB / C/C++). Strong command of English. Strong team player with excellent
-
, sediment transport/deposition, landscape change); You enjoy working with large datasets and applying statistical analysis and modelling approaches; You use scripting/programming in your research (e.g. Python
-
flows, or reinforcement learning-based design optimization. Strong programming skills in Python with experience in PyTorch, JAX, or equivalent deep learning frameworks. Ability to work independently
-
, genetics, or a related life sciences discipline. Demonstrate hands-on experience with large-scale multi-omics data analysis; proficiency in Python and R programming is highly valued. Travel regularly
-
research, reflected in publications or other research outputs. Strong programming skills in Python and experience with scientific computing environments. Experience in one or more of the following areas
-
, provided they have advanced training in methodological statistics You should have advanced programming skills in R or in other statistical software such as Python, or MATLAB. You should have a solid