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AI-modeling and coding. The successful candidate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize treatment plans, enhance
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interview notes, transcripts, artifacts, and classroom feedback. Code and analyze qualitative data (e.g., thematic analysis) to identify design requirements, breakdowns, and opportunities for refinement
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: Comprehensive personalised Assessment, early Risk Evaluation and clinical management” (HER-CARE) project. The successful applicant will work on the project “Assessing the role of rare germline non-coding genetic
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limited to, integrated cancer risk prediction model, cancer subtype discovery, genomic and epi-genomic data integration, single cell RNA-Seq data analysis, non-coding RNA data analysis, and other datasets
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for the long-term health of our code repositories and the versioning of models and data (Git, DVC, MLflow). Requirements: Education: Ph.D Degree in Computer Science, Engineering, Mathematics, Physics
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at the National Library Board, National Archives of Singapore, and NHB’s Roots.SG. Transcribe interviews, organise field notes, and assist in coding and thematic analysis of qualitative data. Coordinate logistics
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to the IU retirement benefit package. We are interested in exploring the novel functional dimensions of human long non-coding RNAs (lncRNAs) in regulating human cardiovascular development, metabolism
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TV-L FU reference code: 637 Who We Are The position is assigned to the workgroup Kuch, which has experience investigating ultrathin magnetic films, surfaces, nanostructures, and adsorbed molecules
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codes such as ImpactX, GPT, or similar. ● Experience with common PIC codes used in LWFA research such as OSIRIS, FBPIC, or similar. Brief Description: The primary purpose of this position is to
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Date: Mar 01, 2026 ---- Position Duration: Expected to Continue Until Jul 31, 2026 ---- Location: UT MAIN CAMPUS ---- Job Details: Purpose A research assistant position to support coding and assessment