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PhD Project in Data Science and Geometric Models of Morphology and computer vision for detection and segmentation in plant images Department of Computer Science Faculty of SCIENCE University
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learning and one PhD student with a keen interest in the algorithmic side of hyperbolic deep learning. Tasks and responsibilities: Conduct high-impact research on hyperbolic deep learning for computer vision
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i) hearing and ii) vision and explore the potential of optogenetics for iii) gastric pacemaking and iv) brain-computer interfaces. These four teams are supported by the platforms for 1) opsin
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for robotics, perception, prediction Computer vision and data acquisition System modelling and control JUNIOR RESEARCHER – Responsibilities Participate in R&D tasks across ongoing projects Support experimental
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particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Program Proficiency in written and spoken English The appointment is to be made in accordance
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 9 hours ago
Researcher (R2) Positions PhD Positions Country Portugal Application Deadline 5 Jan 2026 - 23:59 (Europe/Lisbon) Type of Contract To be defined Job Status Full-time Hours Per Week 35 Offer Starting Date 5 Dec
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follow-up during the PhD period An open and inclusive working environment with committed colleagues Working capital that can be used to implement the project A mentor program for new employees at NTNU
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specifically, do you want to perform cutting-edge research and develop novel advances in hyperbolic deep learning for computer vision? Then check out the vacancy below and apply for a PhD position in this
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to your work duties after employment. Required selection criteria You must have a Master's degree in cybernetics, control systems, or equivalent, with a strong training in robotics or computer vision or
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or computer vision or machine learning. Your education must correspond to a five-year Norwegian degree program, where 120 credits are obtained at master's level. You must have a strong academic background from