Sort by
Refine Your Search
-
We are seeking machine learning and image recognition specialist to join our project team. The ideal candidate preferably has the background in machine learning techniques and image recognition
-
oral and written English. Experience: Expertise in research in algorithm design and distributed network optimization using machine learning, stochastic modelling, optimization, management science, or
-
Streaming Machine Learning for Edges with Prof. Zehui Xiong (https://sites.google.com/view/zehuixiong ), who is a Clarivate Highly Cited Researcher. The team is looking for a highly motivated post-doc
-
to test the tools for usability and its efficacy for learning. The Research Assistant will have the opportunity to participate in writing research publications about their work. The work environment is
-
. Practical experience in machine learning and AI. Good background in blockchain and decentralized/distributed systems. Strong analytical skill. Fluent programming skill in C/C++ and Python/Java. Excellent
-
machine learning and AI. Good background in blockchain and decentralized/distributed systems. Strong analytical skill. Publication records in *top* cybersecurity conferences or journals. Fluent programming
-
, software engineering, and programming ability Track record of research experience and publications in the area of artificial intelligence, machine learning, information extraction, and natural
-
record of research experience and publications in the area of artificial intelligence, machine learning, information extraction, and natural language processing Proven experience in the implementation and
-
and/or applied machine learning. Track record of strong R&D capability, with publications at leading cybersecurity conferences. Working knowledge of the C/C++ or Python programming language. Working
-
programming. Working knowledge of computer networks. Working knowledge of applied cryptography and/or applied machine learning is advantageous. Working knowledge in software testing is advantageous. Familiarity