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://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
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at the intersection of neuroscience, artificial intelligence, and medicine? Do you hold a Master’s degree that has equipped you with strong skills in mathematics and programming, and do you have a keen
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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
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fascinated by the incredible capabilities of neural networks? Are you interested in applying theoretical methods to understand computational efficiency in neural systems? If so, come and join us as a PhD
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pioneering PhD project exploring how massive stars evolve into gravitational-wave sources. Combine stellar physics, simulations and cutting-edge data to uncover the origins of black holes and neutron stars
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mathematics and programming, and do you have a keen interest in neurobiology? If so, we invite you to apply for a fully funded PhD position within our team. Losing the ability to precisely time movements can
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development schemes. Where you will be working This PhD position is embedded in the High-Energy Physics Department at the Institute for Mathematics, Astrophysics and Particle Physics (IMAPP) at Radboud