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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
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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
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carbide · Design experiments and studies for bipolar degradation of SiC devices · coordinate data collection and analysis · support the organization of dissemination events · assist in the preparation
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Ref.: 532733 Work type: Full-time Department: Department of Urban Planning and Design (01300) Categories: Senior Research Staff & Post-doctoral Fellow The Department of Urban Planning and Design
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group. Duties and Responsibilities · work on a project related to silicon carbide · Design experiments and studies for bipolar degradation of SiC devices · coordinate data collection and analysis
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to: designing, implementing, and optimizing high-performance C++/C# software modules for real-time control, sensor fusion, and data analysis; developing unity‐based visualization and user-interaction interfaces
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performance. Applicants should possess a PhD degree in biological sciences or related fields, with expertise in bioinformatics and biostatistics, and a proven research track record on analysing viral evolution
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, PhD students, a lab technician and a research officer to join the international lab of Professor Khuloud Al-Jamal, a Chair of Drug Delivery and Nanomedicine. The aim of our lab is to use nanotechnology
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to funding availability and satisfactory performance. Applicants should have a PhD degree in biological/medical sciences or related disciplines, with post-doctoral research experience in virology
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satisfactory performance and funding availability. Applicants should possess a PhD degree in epidemiology, biostatistics, applied mathematics, data science or other related disciplines. They should have strong