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. Experience leading investigations linking simulations to observational data. Experience with statistical characterization of data, preferably within a Bayesian framework. Job Description: A Post-doctoral
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, including large language models (LLMs) and other foundation models. Development and application of causal inference and discovery methods, particularly causal AI approaches for clinical trial emulation
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placental biology Track-record of supervisory responsibilities Experience with data analysis software Experience working autonomously while maintaining effective team communication in an academic research
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these skills quickly. A track record of research productivity in both independent and collaborative projects. Preferred: We seek a highly motivated individual with experience in invertebrate dissection
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, and currently has 40+ PhD students. All trainees of PhD graduates are placed into tenure-track faculty, government, and industry positions. Expected Salary: $62,232 annually; commensurate with
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. university groups within CMS. Our instrumentation expertise spans detector operations and upgrades (Level‑1 muon trigger, CSC muon system), tracking algorithm R&D, and future HL‑LHC trigger algorithm
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funding to build their CVs and grant-writing skills. Postdoctoral scholars in the lab have had a successful track record of extramural funding, and new trainees will receive mentoring in grantsmanship
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, Program and Staff Awards. Leads and manages annual award and recognition ceremony. Data Management and Compliance Oversees internal systems for tracking fellowships and awards. Ensures compliance with
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-conjugation of NPs-based payloads, such as the enediyne NPs, to the dual-variable domain (DVD)-mAbs. Lab Overview: Natural products (NPs) have a proven track record of success in drug discovery and development
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strong background in molecular biology, NGS sequencing, bioinformatics, nanopore sequencing, etc. A strong track record of publications would be an asset Special Instructions to Applicants: For full