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optimization; and experience supporting end-users in technical research environments. PREFERRED: Familiarity with GPU computing; scripting in Python or Bash; and container orchestration tools like Docker and
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of the project (patents, communications, outreach). Conducting in vivo optical imaging experiments on healthy and patient volunteers; Developing image-analysis pipelines (Python, MATLAB) and modeling functional
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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, and integrate environmental, demographic, and health datasets. Develop reproducible workflows using Python and R to support data transformation, visualization, and statistical modeling. Contribute
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experience: Python, MATLAB, SPSS, Shell. Experience in working with Linux workstation. Excellent organizational and time-management skills and ability to self-direct work. Ability to work as a team member
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. Conducting research on topics related to experimental finance and asset markets. Programming experiments with z-tree, Python, and o-Tree. Experience in running computerized laboratory economic experiments
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of five years of experience developing full-stack applications, with proficiency in Python, JavaScript, HTML5, CSS, and frameworks such as Django, Flask, and React; and experience designing and
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supporting end-users in technical research environments. PREFERRED: Familiarity with GPU computing; scripting in Python or Bash; and container orchestration tools like Docker and Kubernetes; and experience in
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highly skilled Postdoctoral Fellow with a proven dual‑mode research profile capable of independently performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial
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one programming language such as JavaScript, C++, or Python; (c) be familiar with BIM development frameworks (e.g., Revit API, AutoCAD .NET API, Forge); (d) understand BIM standards (e.g., IFC