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PhD Defense: Machine Learning Methods for Image-based Phenotypic Profiling in Early Drug Discovery
Welcome to the Doctoral Defense of Johan Fredin Haslum
Date and time: June 12, 14:00
Location: D3, Lindstedtsvägen 5, KTH, Stockholm, and online (https://kth-se.zoom.us/j/67796518372)
Doctoral student: Johan Fredin Haslum, Division of Computational Science and Technology, KTH Royal Institute of Technology, and AstraZeneca
Title: Machine Learning Methods for Image-based Phenotypic Profiling in Early Drug Discovery
Supervisors: Associate Professors Kevin Smith and Hossein Azizpour, Division of Computational Science and Technology, KTH Royal Institute of Technology; Erik Müllers and Karl-Johan Leuchowius, AstraZeneca
Opponent: Professor Joakim Lindblad, Department of Information Technology, Uppsala University
Original location: D3, Lindstedtsvägen 5, Stockholm, KTH Royal Institute of Technology