Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
of experience, including at least 5 years of experience in career coaching/counselling/career services/graduate recruitment/human resources/executive search/learning and development. • Change agent and
-
design, electronic markets); agent modeling and simulation; agent planning, scheduling and decision support; agent learning and adaptation; reinforcement learning and inverse reinforcement learning
-
undergraduates have gone on to create or participate in start-ups . Qualifications Candidate requirements are as follows: Capable of delivering postgraduate course: Multi-Agent Systems. Masters degree or PhD
-
the PI and the project team. - Collaborate with PhD students, undergraduate researchers, and postdocs. Writing & Publications - Prepare and submit research papers to peer-reviewed conferences and journals
-
skills, to include Microsoft word/excels and power point for presentation and knowledge of software such as AutoCAD/REVIT/GIS including BIM will be preferred. • Ability to be versatile and agile with a
-
thickness, uniformity, assess effectiveness of active agent delivery, degradation profile, mechanical strength etc.) Carry out biochemical and biological assays to assess bioavailability and cytotoxicity
-
optimization and meta-heuristics; economic paradigms (game theory, mechanism design, electronic markets); agent modeling and simulation; agent planning, scheduling and decision support; agent learning and
-
. Key Responsibilities: Conduct research and development of AI/ML algorithms, including Reinforcement Learning and multi-agent decision making, for advanced ATFM concepts. Perform data mining, data
-
: Research activities related to Quantum Machine Learning, Agents and Information Theory Job Requirements: For the Research Fellow position, the candidate must hold a Ph.D. degree in quantum information
-
Demonstrated the ability to obtain extramural funding A good track record of supervising research staff, postdocs, students, and interns in relevant fields Experienced in cross-disciplinary research initiatives