Doktorand inom Maskininlärning
Core
PhD research in machine learning to build AI models that digitize the sense of smell and understand human olfactory perception.
Role type
PhD researcher (machine learning)
Builds
AI models for olfactory perception and digital transfer of smells
Domain
Neuroscience, Olfaction, Machine Learning
Deliverable
production ML models
Required skills
time-series data analysis (EEG), signal processing, machine learning, computer vision, video processing
Preferred skills
research in olfactory perception, AI model development
Technologies
EEG, signal processing frameworks, computer vision libraries
Responsibilities
work on EU project 'Digitalization of smell', analyze EEG data, develop AI models for olfactory perception
Seniority
PhD candidate (early career researcher)
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