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of theory and experiment to test competing models of predictive coding in the auditory cortex—shaping our understanding of brain function from the ground up. Predictive coding and predictive processing
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applications, ranging from noninvasive cancer treatments to contrast imaging and targeted drug delivery. The research will be supervised by Dr Vanja Nikolić. Learn here more about the project in non-technical
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in the process (e.g. development of questionnaires). You will present the results at scientific conferences and in peer-reviewed scientific journals. At the end of the project, you will help organise a
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. Research methods include computational modelling, brain imaging (fMRI), machine learning, behavioural methods, and other techniques. Virtually everything we sense, think and do is uncertain. For instance
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the page about working as a PhD candidate . Profile You have a MSc degree in Chemistry, Chemical Engineering or a related discipline – affinity with physical chemistry is a strong plus. You are motivated by
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industry. Your research will consist of four research activities. First, you will conduct an in-depth multidisciplinary literature study (covering HRM, occupational psychology, careers, human-technology
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on studies of visual perception and decision-making. Research methods include computational modelling, brain imaging (fMRI), machine learning, behavioural methods, and other techniques. Virtually everything we
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Engineering, Electrical Engineering, or a related field. You have a strong background in machine learning, AI or control systems. You are proficient in programming languages such as Python and/or C++. Having
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enthusiastic young scientist who likes to work with and/or develop new spectroscopic instruments? And do you hold a Master's degree in physics (photonics), electrical engineering or a related field? Would you
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Institute for Brain, Cognition and Behaviour. You will work on studies of visual perception and decision-making. Research methods include computational modelling, brain imaging (fMRI), machine learning