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the feasibility of prototyping an LLM-driven interactive GUI that auto-configures key inputs (e.g., Slater parameters), enabling a closed loop from model setup to analysis for accelerated studies of new materials
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longitudinal consistency and data quality, including parameter tracking, protocol versioning, and rigorous QC frameworks Implementing, validating, and extending image-processing and analysis pipelines
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learning, parameter-efficient fine-tuning methods such as LoRA and adapter-based tuning, and retrieval-augmented generation (RAG) approaches. Familiarity with LLM architectures (e.g., GPT, BERT, T5
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programming background Experience in computer vision projects Experience in software or webapp development/API integration Interest (but not necessarily expertise) in medicine and radiotherapy Required
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the scope and impact of our studies. Current research themes include: The impact of GLP-1 receptor agonists on metabolic outcomes and surgical decision-making in bariatric patients Computer vision analysis
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, and internal equity. Pay Range: $76,383 - $130,000 We are looking for a talented researcher with experience in econometric/quasi-experimental approaches for causal effect estimation (e.g., regression
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connections between the lab, classroom, and society. Required Qualifications: Highly motivated postdoctoral researcher with extensive experience with item response theory models, computer adaptive testing, and
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Francisco, CA. A second project uses a mobile crowdsensing system and computer vision techniques to identify neighborhood environmental features and their relationships with community and resident wellbeing
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Tranplantation and Regenerative Medicine Postdoc Appointment Term: TBD Appointment Start Date: TBD (estimated Spring/Summer 2026) How to Submit Application Materials: Interested applicants should submit by email