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cognitive search. Develop Snowpark Python transformations, UDFs, and machine-learning features. Implement vectorized storage, model-serving patterns, and AI-ready data transformations. Support RAG/semantic
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techniques in data analysis. Familiarity with statistical analysis packages such as Stata, R, or Python. Advanced knowledge of research techniques and methods in relevant scientific field. Preferred
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reviews to guide experiment design and identifying emerging methodologies. Processing and analyzing large experimental datasets using scientific computing tools (Python/Matlab). Maintaining laboratory
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: https://genomikadlapolski.pl/ ." We are seeking an ambitious individual to join the Laboratory of Genomics IBCH PAS and engage in the work of the G4PL project team, related to the analysis of genomic data
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Expertise in FEM software (ABAQUS, ANSYS, SAP2000) and coding (Python/MATLAB). Professional engineering licensure (HKIE/CEng) or eligibility is a plus. Candidates for Professor or above should have
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skills with proficiency in Python, TensorFlow/PyTorch, and experience with containerized deployments and MLOps practices. Data Pipeline Engineering: Extensive experience with end-to-end data pipelines
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the areas of job performance, professional development/research support and service. Standards are outlined in the IUI Promotion & Tenure Guidelines: https://academicaffairs.indianapolis.iu.edu/Faculty
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. Implements program analytics software tools, and runs predictive analysis and forecasting models in support of organizational goals. Uses of Python to conduct data analysis. Effectively translates data
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defined the cell types and mechanisms that instruct peripheral regulatory T cell development and tolerance to the gut microbiota (https://www.nature.com/articles/s41586-022-05309-5 ) and identified
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), Cloud Computing (e.g., AWS), Networking (e.g., Cisco CCNA), Database Management (e.g., MySQL, Oracle), and Programming (e.g., Java, Python, cloud‑based development). Effective interpersonal skills