Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Leiden University
- University of Twente (UT)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Wageningen University & Research
- ARCNL
- European Space Agency
- University of Amsterdam (UvA)
- University of Groningen
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- 2 more »
- « less
-
Field
-
project, you will develop and validate experimental methods to study wafer bonding in a quantitative and physics-based way. You will work on wafer bonding measurements and combine these with advanced
-
to take scientific ownership of the project, from experimental design and quantitative analysis to physical interpretation and publication. Work environment The Advanced Research Center for Nanolithography
-
engineering or applied physics. Demonstrated ability to conduct research in experimental fluid mechanics. Proven competence on flow measurement techniques and PIV. Familiarity with optics, lasers, image
-
of tomato gene expression and provide strong experimental validation of the technology platform to improve complex crop traits through gene editing of gene expression regulators. Your duties and
-
Physics Informed Machine Learning method which exploits the advantages of physics-based and data-driven models, while mitigating the disadvantages. This research will contain experimental and modelling
-
in both experimental and theoretical fields to enable you to learn and execute world-leading research. Job requirements A PhD degree in physics A PhD degree in electrical or mechanical engineering
-
test an innovative experimental manipulation of impostorism recruit and manage participant samples across multiple countries and occupational groups analyse quantitative datasets publish findings in
-
attention and cognitive processing. You will work in a multidisciplinary team using cutting-edge experimental methods, including eye tracking, pupillometry and behavioural paradigms, to advance our
-
degree in Mechanical Engineering or related field. Experience in experimental study of mechanical processing Hands on experince in practical engineering and process design A critical attitude towards
-
experimental research, good programming skills, a keen interest in human-machine communication, and is motivated towards contributing to Hybrid Intelligence. You are also expected to interact scientifically with