Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA)
- Utrecht University
- Maastricht University (UM)
- Wageningen University & Research
- Radboud University
- Amsterdam UMC
- University of Groningen
- Leiden University
- Vrije Universiteit Amsterdam (VU)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- University Medical Center Utrecht (UMC Utrecht)
- Centrum Wiskunde en Informatica (CWI)
- Erasmus MC (University Medical Center Rotterdam)
- Leiden University Medical Center (LUMC)
- Radboud University Medical Center (Radboudumc)
- Sanquin Blood Supply Foundation (Sanquin)
- Tilburg University
- University of Twente
- University of Twente (UT)
- AMOLF
- Amsterdam UMC, location VUmc
- Delft University of Technology
- Erasmus University Rotterdam
- KNAW
- Universiteit van Amsterdam
- 17 more »
- « less
-
Field
-
will operate at the intersection of computer vision, micro-electronics analysis, and hardware security, and will work under the supervision of researchers within the Department of Intelligent Systems
-
MRI, high-resolution confocal microscopy and electron microscopy. Develop and refine imaging analysis pipelines, using appropriate software, quantitative approaches and innovative analytical methods
-
strategies that are robust with respect to perturbations and capable of balancing multiple competing performance criteria. Information Uncertainties are inherent in many engineering design problems and can be
-
models that combine anatomical and hemodynamic information derived from routine clinical imaging. By providing quantitative insights into coronary anatomy, blood flow, pressure, and wall shear stress
-
skills. experience in data analysis, quantitative modeling and programming (e.g., R, python); knowledge of nutrient and/or agrochemical cycles in agriculture; excellent scientific writing skills in English
-
wave equations. In the project, we will develop a new mathematical and computational framework that combines PDE-based modelling with ideas from data-driven reduced-order modelling. The aim is to obtain
-
well-documented analysis pipelines, models and data products. Contribute up to 0.1 FTE to teaching or supervision at Maastricht University. Are you excited to work at the interface of neuroscience and
-
and collecting experimental data. You also have experience with, or a strong willingness to develop, skills in advanced statistical methods and quantitative data analysis. Experience with computational
-
two complementary backgrounds. You may have experience in iPSC-based disease modelling, stem-cell or cell biology and an interest in developing your data-analysis skills, or a background in
-
neuroscience and evolutionary biology. The University of Groningen provides exceptional infrastructure, including access to the Hábrók high-performance computing cluster for large-scale data analysis, large