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command of data wrangling, cleaning, and large-scale dataset management. Machine Learning/Deep Learning: Experience with PyTorch, TensorFlow, or Hugging Face; embedding models; and model validation
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will seek to understand the social conditions under which large-scale changes in norms and behaviours around accessing mobility on demand emerge. Our models will consider factors relating to social
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government partners. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About UQ As part of the UQ community, you will have the
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of Biology is a large, unified department with strong undergraduate degrees, nationally-ranked graduate programs, and world-class research spanning the breadth of biological questions and experimental systems
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the value of the data. Role Summary Design and conduct large-scale laboratory and field trials aimed at underground infrastructure Use classical geophysical sensors (e.g. GPR, gravimeter, magnetometer) as
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The position An exciting postdoctoral position in method development for spatio-temporal medical data is available in the UiT Machine Learning Group at the Department of Physics and Technology . Goal: Develop
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communication and collaboration skills. • Prior research experience in generative AI (e.g. large language models). • Prior research experience in combining AI and structural engineering. • Open to fixed
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Learning and Data Analytics. You will have experience in composing project deliverables and delivering effective presentations and be able to assist in project integration workshops and other meetings. With
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biospecimen collections, including pancreatic tissue, cyst fluid, and serum samples from a large clinical biobank. Perform proteomic and molecular profiling to identify and validate biomarkers associated with
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21 Feb 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Researcher Profile First Stage Researcher (R1) Application Deadline 22 Mar