Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- European Space Agency
- Utrecht University
- University of Amsterdam (UvA)
- Eindhoven University of Technology (TU/e)
- Wageningen University & Research
- Leiden University
- Radboud University
- University of Twente (UT)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Maastricht University (UM)
- Radboud University Medical Center (Radboudumc)
- ARCNL
- Amsterdam UMC
- Erasmus University Rotterdam
- Centrum Wiskunde en Informatica (CWI)
- University of Groningen
- Vrije Universiteit Amsterdam (VU)
- DIFFER
- Erasmus University Rotterdam (EUR)
- IHE
- Naturalis
- Stichting Climate Litigation Network
- Tilburg University
- Universiteit Leiden
- University Medical Centre Groningen (UMCG)
- 16 more »
- « less
-
Field
-
related field. You have a strong background in numerical modelling and programming (preferably Python). You will collaborate with colleagues who are AeoLiS and CFD specialists, so affinity with
-
have: MSc in engineering or similar discipline by the start date of the position Experience with mechanical modeling and simulation Experience in computer programming/scripting (e.g., C++, Python, Matlab
-
programming skills are a plus: MATLAB, Python, Git Fluency in English An open personality and good communication skills in written and spoken English. TU Delft (Delft University of Technology) Working at TU
-
requirements and priorities. Strong skills in data analysis, image processing, and programming (e.g., Python/C++). Demonstrated experience in publishing scientific journal papers. Fluent in English (oral and
-
proficiency in coding, at least using Bash and Python. Applicants should maintain their code in a public repository (e.g. GitHub) and include the link in their application. Proven skills in Linux/HPC
-
development, spin simulations, or MR signal modeling is highly desirable. Strong programming skills, for example in Python, MATLAB, C/C++, or a comparable scientific computing environment. Experience with
-
Science, Biostatistics or a closely related discipline; have demonstrable experience with training machine and deep learning models, preferably using Python; have a basic understanding of biology and/or
-
for classification or decoding of neural data - programming skills, especially Python Additional Information Benefits What can you expect from us? 232 vacation hours per year, based on a 38-hour workweek (1.0 FTE
-
data science, biomedical engineering, technical medicine, or a related field. You should have strong programming skills (Python, PyTorch), deep learning knowledge (multimodal learning, longitudinal
-
related field; a solid understanding of molecular genetics, glial and myelin biology and rare neurological diseases; experience with either iPSC culture and differentiation or programming (Python and/or R