Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
research in artificial intelligence, machine learning system, edge computing. To produce research papers and reports as required by the funding body or for dissemination to the wider academic community
-
research in artificial intelligence, machine learning system, edge computing. To produce research papers and reports as required by the funding body or for dissemination to the wider academic community
-
services from Infrastructure, Cyber Security, AI, Data Analytics, Enterprise Applications to Learning Technologies. A few areas of focus will be on the data analytics and AI, where the incumbent will drive
-
Job Description Job Alerts Link Apply now Job Title: Assistant Professor (Electrical and Computer Engineering) Posting Start Date: 08/07/2025 Job Description: Job Description The Department
-
Responsibilities Development of new machine learning modeling approaches Development of new advanced control and optimization algorithms Optimization of carbon capture process operation Provide regular project
-
advances the mathematical foundations, algorithms, and real-world applications of epistemic uncertainty in machine learning, with a strong focus on imprecise probabilities, uncertainty representation and
-
testing on 3D-printed mechanical parts. Develop a machine learning model for high-throughput evaluation of the mechanical properties of 3D-printed metallic parts. Collaborate with other group members
-
on emerging privacy-preserving techniques such as homomorphic encryption, secure multi-party computation and federate learning. Key Responsibilities: Conduct advanced research in the areas of privacy-preserving
-
at the intersection of mitochondrial biology, functional genomics, and machine learning. This interdisciplinary initiative focuses on discovering, decoding and engineering mitochondrial microproteins (mito-MPs) with
-
researcher in natural language processing and large language models to work with a team from multiple disciplines of machine learning and artificial intelligence to develop multimodal large language models