Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
invites applications for two positions as Research Assistant Professor (RAP) in Urban Analytics or Construction AI (Ref. no. 532734). Appointments will commence as soon as possible on a one- to three-year
-
related to staff position within a Research Infrastructure? No Offer Description Ref.: 532959 Work type: Full-time Department: Centre for Civil Society and Governance (30101) Categories: Senior Research
-
Ref.: 532959 Work type: Full-time Department: Centre for Civil Society and Governance (30101) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in the Centre for Civil
-
the project leader in the research project - “Unmanned underwater vehicle inspection system for marine engineering structures”. Qualifications For the post of Research Assistant, applicants should have a
-
- School of English - Faculty of Dentistry - Department of Civil Engineering - School of Computing and Data Science - Department of Electrical and Electronic Engineering - Department of Mechanical
-
. Qualifications and Experience possess a PhD in Computer Science, Robotics, Mechatronics, Biomedical Engineering, or a related discipline; demonstrate strong programming proficiency in C++ and/or C#, with a solid
-
Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
Applicants should possess a doctoral or master’s degree in Education, the Learning Sciences or a related discipline, with a strong background in technology-enhanced learning and assessment, learning design and
-
funding. Requirements A PhD degree in a relevant discipline (e.g., civil engineering, computer science, AI, architecture, or related fields); A strong publication track record; Experience with Building
-
Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
strong background in technology-enhanced learning and assessment, learning design and/or learning analytics for teacher learning and pedagogical innovation. Familiarity with theory and pedagogical
-
to structural biology, protein engineering, machine learning, molecular cloning, in vivo experiments, and/or CRISPR technology. Candidates must exhibit a strong command of written and spoken English, and