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students, and faculty. Introductory and intermediate programming (e.g., Python) Data wrangling, data quality, and visualization Introduction to machine learning and practical applications Introduction to ML
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or TensorFlow to develop state of the art machine learning pipelines. Perform statistical analysis in languages including R and Python Work Location: Hybrid – This role is eligible for a hybrid schedule of 2
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, and issue resolution. Advanced issue resolution, root cause analysis, and performance tuning skills. Proficiency in automation technologies such as but not limited to Python, Shell scripting, and Puppet
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VLMs and LLMs. Proven experience with high-performance computing, including GPU server setup and maintenance Programming Skills: Proficiency in Python and frameworks like PyTorch, TensorFlow, or Keras
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an experimental or wet lab. Experience with data analysis on protein-protein interaction, and mass spectrometry-based proteomics. Prior experience with scientific programming and statistics using R/Python. Prior
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, deep learning, and statistical modeling techniques. Proficiency in programming languages such as Python, R, or C++, with experience using AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn
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implementation of cloud storage and data management strategies for complex research data sets Ability to work on multiple projects simultaneously Coding experience (python, Matlab, C) Experience with database
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any of the following: Electrophysiology Multiphoton or confocal imaging Histology, CLARITY, in-situ hybridization Programming (Matlab/IgorPro/Python), electronics fabrication How to Apply: For full
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molecule/drug applications. Bioinformatics and/or programming expertise in languages such as R and Python. Knowledge, Skills and Abilities: Solid understanding of common cellular and molecular mechanisms
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-arterial and ablation therapies, biliary, genitourinary, and GI intervention. Specific experience in application of listed competencies in the pediatric population will be necessary. How to Apply: For full