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experiments. ● Experience with readout electronics and data acquisition systems. ● Advanced coding skills in C++ and Python. Application instructions: All individuals interested in this position must submit a
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) Strong programming skills and understanding of modern languages (Python, Perl). (xii) Knowledge of HTML5, CSS3, Bootstrap and W3C standards. (xiii) Familiarity with academic research environments. (xiv
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, Biostatistics or Data Science that include computation using R, Python, or another programming language, including lecture preparation and delivery, curriculum development, and development of online material
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. Advanced proficiency in R and/or Python; experience with reproducible workflows (Git/GitHub, R Markdown/Quarto). Extensive experience working with large-scale longitudinal or multi-cohort datasets
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considered an asset: Experience in User Interface (UI) design including development and use of standard components and style guides; Experience in Python; Experience with high-performance computing and cloud
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languages such as Java, Groovy, Python, Perl, HTML, XML, JSON, etc. • Strong working knowledge of SOAP/REST concepts and technologies: XSD, XSLT, XPATH, WSDL, SOAP APIs, WS-*, JSON Schema, RAML/Swagger
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monitoring. Familiarity with computational image analysis, scripting (Python, MATLAB), or machine learning–based image workflows. Experience with method development, imaging assay optimization, or pipeline
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, computational cancer biology/genetics or a related field, obtained within the last 5 years by the time of the appointment start date or an M.D. within 10 years as well as Proficiency in Python, R, and ML
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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