-
collaborative and interdisciplinary activities. Job Requirements: Preferably PhD degree in Computer Engineering, Computer Science, Applied Mathematics or equivalent. Strong academic background in machine learning
-
PhD in Mathematics/Computer Science or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills In-depth knowledge relevant
-
cryptography, computing, business, and finance. PAP encompasses numerous areas of fundamental and applied physics, such as quantum information, condensed matter physics, biophysics, and photonics. The key
-
. The project seeks to advance the analysis of dynamical systems through the development of novel techniques in functional analysis, operator theory, ergodic theory, differential geometry, and/or data science