28 engineering-image-processing-phd PhD positions at Radboud University in Netherlands
Sort by
Refine Your Search
-
-ACCENT project aims to fill this gap by combining insights from cognitive psychology, neuroscience, AI engineering, human-computer interaction and social science, with lifespan perspectives. Using advanced
-
processing. This includes many network-wide events and other (international) training opportunities. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page
-
PhD candidate at the Life Science Trace Detection Laboratory (TDLab) Read Pascalle Deenekamp's story Does this sound like you? You have a Master's degree in physics, engineering, photonics or a related
-
EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you a computer scientist eager to strengthen the privacy and security of billions
-
you a computer scientist eager to strengthen the privacy and security of billions of internet users? Do you want to conduct research with real societal impact while advancing open science? If so, come
-
measured by a 7,000-tonne detector in the ATLAS experiment at the Large Hadron Collider? We look forward to your application! As a PhD candidate, you will conduct fundamental research in experimental
-
the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you a passionate PhD candidate in practical
-
://www.academictransfer.com/en/jobs/354978/phd-position-theory-of-learning… Requirements Specific Requirements You hold an MSc in physics, engineering physics or mathematics. You have a good command of analytical techniques
-
to your application! As a PhD candidate, you will conduct fundamental research in theoretical particle physics, with close connections to experimental observations. Your project will be supervised by Dr
-
PhD candidate, you will contribute to both aspects, from studying the brain’s control of movement to applying these insights in the development of closed-loop brain–computer interfaces aimed