Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
16 Apr 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Arts » Visual arts Computer science » Programming Researcher Profile First Stage Researcher
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Generate ultrasound with light, and use it to visualize properties
-
pinpoint the mesoscale functional subunits within the human cerebellum. The PhD project will focus on the visualization of functional subunits in the cerebellar cortex – including high-resolution
-
through multi-modal sensing, autonomous UAV platforms, and advanced AI-based analysis. A central focus is the detection of defects in bridges and viaducts using X-ray, LiDAR, visual and acoustic data
-
for statistical analysis and data visualization and willingness to improve these. Initiative and engineering spirit to solve problems hands-on. Good communication skills to communicate with supervisor and
-
change in crisis responses over the long term. You will combine historical source research with digital methods to analyse large-scale corpora of textual and/or visual sources. You will work with existing
-
research. The cluster currently has 10 faculty members, whose research interests include computational geometry and topology, graph and FPT algorithms, algorithms for massive data, geo-visualization, and
-
indicators and neurotransmitter sensors (fiber photometry), opto- and chemogenetics, engram visualization and mouse behavior. By joining our team at the University of Amsterdam, you will contribute to a deeper
-
., PsychoPy, E-Prime, Gorilla, Presentation). Hands-on experience in data visualization, data analysis, and programming in R and/or Python. Experience in, and aptitude for, complex statistical modelling (inc
-
. Direct visualization of crystal nucleation, growth, and phase transformations within porous materials will reveal mechanisms that thermodynamic models cannot capture. 2) Experimental datasets and