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Field
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applicant: has a PhD degree in electrical, computer or biomedical engineering, computer science, data mining/machine learning, or a closely related area. has demonstrated the ability to perform independent
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role The role involves undertaking high quality research as part of an exciting new internationally funded research project investigating the neural and computational basis of anergia and effort
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topics in spin-glass physics, quantised vortices, or physics-based machine learning and neural networks, broadly defined. The successful candidates will have completed (or nearly completed) a PhD in
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Research Fellow in Machine Learning Apply for this job See advertisement About the position Position as PhD Research Fellow in Machine Learning is available in the Department of Informatics and the
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interdisciplinary areas. Research fields of particular interest include, but not limited to: biomedical science and engineering veterinary science computer science and data science neuroscience and neural
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of our research program is to understand the neural circuits that underlie cognitive and emotional behavioral decision-making. Many of our research projects are focused on neuromodulatory circuits such as
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. The successful candidate will collaborate with Dr Pedro Mediano in the Department of Computing, with members of Dr Mediano’s Machine Intelligence and Neural Dynamics laboratory, and with the rest of collaborators
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Max Planck Institute for Neurobiology of Behavior - caesar, Bonn | Bonn, Nordrhein Westfalen | Germany | about 1 month ago
, to large-scale functional imaging of brain circuitry during behavior, to the quantification of natural animal behaviors. We are looking for a PhD student (m/f/d) to work on a joint project between the Neural
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, access to the interdisciplinary PhD program of the Nencki Institute (Warsaw-4-PhD), administrative support as well as friendly and inclusive working environments. Successful candidates are expected
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, you will be focusing on the topic of Brain Neuro-Adaptability to Pain, in particular brain oscillations in pain conditions and non-invasive brain stimulation. You will be working alongside PhD students