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within the Department of Electrical and Information Technology works broadly with research within Cryptography, Computer Security, Wireless and Fixed Networks. The security group within the Division has
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in computational fluid dynamics Experience in computer programming, in particular Python and Matlab, and in CAD and CAE tools Ability to work independently and also to enjoy collaborating with others
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Security, Wireless and Fixed Networks. The security group within the Division has around 20 members. The main research directions are Cryptography, Privacy and System Security for Connected Systems
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(Chapter 7, Section 39 in the Higher Education Ordinance (1993:100)). Desirable qualifications Master’s degree in mechanical engineering or equivalent subject. Good knowledge of computer-aided engineering
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Engineering, Mechatronics Engineering, Physics, Electrical Engineering, Chemical Engineering, Mechanical Engineering or other related subjects. Experience working on experimental ultrasound sensing and
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Learning has an open position for a doctoral student with a background and strong interest in deep generative learning and computer vision/remote sensing. The successful candidate will join a project funded
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qualifications: Master's degree in Engineering (M.Sc. Eng.) or equivalent. Experience in handling and processing medical images. Experience in computer programming. Preferred Qualifications Knowledge of 4D Flow
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qualifications Publications at top machine learning or computer vision conferences (NeurIPS, ICML, ICLR, CVPR, AISTATS etc.) are highly meriting. Expertise in Bayesian methods, generative models, multimodal models
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Engineering, Computer Engineering, Mechatronics Engineering, Physics, Electrical Engineering, Chemical Engineering, Mechanical Engineering or other related subjects. Experience working on experimental
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analyses. The postdoc will be hosted at TDB, co-supervised by both groups, and will work at the interface of scientific computing, machine learning and particle physics. Project description Searches for dark