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Field
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address scientific problems in pharmacology and medicine. Build and adapt AI-assisted tools (e.g., LLM-based agents) to support mechanistic model development and biomedical knowledge integration. Implement
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background in individual- /agent-based modelling Experience with modelling of animal energetics Strong R and Netlogo skills Good understanding of movement & population ecology Experience in publishing
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as well as international collaborating teams. This position involves tasks where exposure to biological agents may occur. Upon employment, health surveillance will be carried out in accordance with
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) 4+ years’ experience in Matlab™/C++/Python 2+ years’ experience with acoustic modeling software (k-Wave, FOCUS, Field II) 2_ years’ formulating and characterizing nanoparticles or contrast agents
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: Title of Post: Post Doctoral Researcher (Level 1) AI-Minds Project: Trustworthy AI Large Language Educational Models JOB SYNOPSIS Post Doctoral Researcher to develop agentic LLMs tailored to immersive
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appointment is 1 year with an expected renewal for a 2nd year based on mutual agreement. Appointment Start Date: Oct 1, 2025 Group or Departmental Website: https://profiles.stanford.edu/andreas-loening (link is