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technologies. Qualifications A PhD in computer science, artificial intelligence and machine learning, or a related field. Expert knowledge of the fundamentals of artificial intelligence and machine learning and
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models to profile cell and tissue samples imaged using 2/3D microscopy. The group is specifically focused on applying self-supervised representation learning and generative AI in computer vision to improve
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design and predictive maintenance. Keywords: Array signal processing, Computer vision, Perception, Sensors, Wireless communications, Autonomous systems, Energy systems, Machine automation. Supervisors
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@abo.fi ) Projects starting in January 2025 Deciphering the interaction of Circulating Cell with Endothelial Cells using computer vision. PI: Guillaume Jacquemet ([email protected] ) Utilizing PNA
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- 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by an EU programme Is the Job related to staff position within a