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vision, and model evaluation Programming & Tools: Strong skills in Python/R and modern libraries (e.g., TensorFlow, PyTorch, Scikit-learn), plus experience with Jupyter, Git, and OpenAI/Hugging Face tools
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technologies Familiarity with drug screeningprotocols Understanding of requirements/process in presenting research findings Familiarity with coding languages such as R or Python To be successful in this role you
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to meet deadlines. -Programming experience in Java, Python through course work or personal project is required. -Computer modeling experience Blender, Solidworks, other computer aided design/modeling tools
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the potential for high quality research impact. · Ability to design research and outreach tools (e.g., R, Python packages, web pages, workshop materials) with in-depth knowledge of applications and the
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(Biomedical Engineering or related field). Experience with machine learning, computer vision, and data science tools. At least 2 years of experience developing applications with Python and Java. At least 2
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methodologies for large COTS implementation programs. Very good oral and technical written communication skills. Very good working knowledge of programming/scripting/markup languages such as Java, Groovy, Python
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., Seurat, Scanpy, DESeq2). Experience with spatial transcriptomics and multi-modal data integration is highly desirable. Proficient in Python, R, and ML libraries such as PyTorch or TensorFlow. Strong
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genomics and/or transcriptomics analysis • Proficiency in R, Python, Bash scripting for bioinformatics analysis and data visualization • Experience with Unix/Linuc command line for managing workflow
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relevant area of research, ideally related to host and/or bacterial genomics and/or transcriptomics analysis • Proficiency in R, Python, Bash scripting for bioinformatics analysis and data visualization
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in programming with languages commonly used in AI development (e.g., Python, R, Java, C++, JSON). Experience in designing, developing, and evaluating AI/Machine Learning models. Excellent analytical