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Description The Hector Fellow Academy offers the opportunity to carry out a self-developed PhD project under the supervision of Prof. Katrin Amunts (Cécile and Oskar Vogt Institute of Brain Research
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applications for a PhD Student or Postdoc Position (f/m/d) for any of the following topics: Combining non-equilibrium alchemistry with machine learning Free energy calculations for enzyme design Permeation and
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The Neurophysiology of Human Movement Group at the University of Adelaide is seeking a full-time PhD student for a fully funded PhD Scholarship examining “Brain oscillations and motor function in
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This PhD projects falls under Research Thrusts RT1 and RT3 on communication systems and representation, compression, learning, and inference for classical and quantum data exchanged through classical and
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" (Supervisor: Prof Timothy O'Leary) uses principles from systems neuroscience to develop reliable, low-power spiking neural networks and learning algorithms for implementation in a new generation of neuromorphic
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to compensate for such aberrations, significantly enhancing image quality. Adaptive requires knowledge of the wavefront to be corrected. Our team has been developing a machine-learning approach to wavefront
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the first call lasts from the 1st of July to 31st of August 2025. Description of specific PhD projects: Machine Learning Interatomic Potentials for Chemical Reactions Hosting: Tallinn University of Technology
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a keen and bright candidate for a PhD position that is
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Your Job: Adaptive Control Theory (ACT) provides mathematically grounded and robust learning rules, prescribing that neurons should be diffusively forced toward a teacher trajectory and achieve
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of Prof. Dr. Frank Cichos and Dr. Nico Scherf (Max Planck Institute for Human Cognition and Brain Sciences). The position is part of a collaborative project in the Center for Scalable Data Analytics and