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systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
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systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
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systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
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(or will soon complete) a Master’s degree in Cognitive Neuroscience, Biomedical Sciences, Artificial Intelligence, Computer Science, Bioengineering, Cognitive or Experimental Psychology, Neurophysiology
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completed or near-completed MSc degree in Artificial Intelligence, Computational Linguistics, GeoInformatics, Geography, Geoscience, or a related field; experience with natural language processing (NLP
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journalism’s recent past. Methodologically, the project employs a digital humanities approach, combining computational analyses of metajournalistic discourses with qualitative analyses of debates at critical
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the following traits: Educational background: A master’s degree in computer science/artificial intelligence with a solid grounding in optical and spectroscopic instrumentation, such as hyperspectral, NIR, and
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journalism’s recent past. Methodologically, the project employs a digital humanities approach, combining computational analyses of metajournalistic discourses with qualitative analyses of debates at critical
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Master’s degree in Data Science, Artificial Intelligence, Computational Linguistics, Computer Science. Has excellent academic writing and oral skills in English. Has experience with large language models
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-cognition-relationship and see yourself in the description below: Holds (or will soon complete) a Master’s degree in Cognitive Neuroscience, Biomedical Sciences, Artificial Intelligence, Computer