Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Utrecht University
- Leiden University
- University of Amsterdam (UvA)
- European Space Agency
- Eindhoven University of Technology (TU/e)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- University of Groningen
- ARCNL
- Radboud University
- Radboud University Medical Center (Radboudumc)
- Universiteit Leiden
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- 4 more »
- « less
-
Field
-
and computer programming (e.g. Python); strong communication and scientific writing skills in English. Helpful criteria: experience with Dynamic Adaptive Pathways Planning or other methods from Decision
-
research with quantitative system modelling of our research group; experience with systems modeling and computer programming (e.g. Python); strong communication and scientific writing skills in English
-
control and related). Experience with experimental methods and data acquisition systems like LabView or similar systems will be beneficial Strong, proven programming skills in Python. Proficient in written
-
science, spatial analytics, or a related field; experience with diverse spatial analytical methods; strong programming skills (e.g., Python) and version control (e.g., GitHub); experience working with multi
-
the box and explore new avenues, with natural curiosity and a passion for new subjects and research areas; experience with one or more general-purpose programming languages, for example Python and general
-
with scientific programming and quantitative data analysis, particularly in Python, is welcomed. Experience with droplet generation, thermal diagnostics, image processing, or automated experimental
-
with RTDS/RSCAD, real-time simulation or hardware-in-the-loop set-ups. Software development skills: Python, C, scripting and automation, version control, testing. Expertise in one or more of: converter
-
laboratory hardware. You are interested in instrument automation and quantitative data analysis. Experience with Python, LabVIEW, or Matlab for instrument control/data processing is required, but you do not
-
comfortable working with optics, fluidics, detectors, light sources or related laboratory hardware. You are interested in instrument automation and quantitative data analysis. Experience with Python, LabVIEW
-
mitigation approaches Familiarity with various mitigation regulations and guidelines Familiarity with computational tools such as Python You should also have good interpersonal and communication skills and