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reproducible research software and scalable data analysis pipelines in Python for machine learning and interpretability research. These tools will support systematic investigation of model behaviour and enable
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) and custom-made software. Advanced level in one of these programming languages: Python, C, C++ Ability to work independently, manage multiple tasks, and document technical procedures clearly Capacity
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programming language (Python or R) is essential. A sound knowledge of soil microbiology and/or plant genomics, and an interest in sustainable agriculture, would be advantageous. About Us As a specialist
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Vision and speech processing, multimodal signals processing and fusion; Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice; First-author
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Experience with large-scale data work and data integration Programming skills in Python, R, Stata, and SQL Interest in pharmaceutical innovation, patents, and the science of science Experience with machine
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specific tasks would include: (1) validating spectroscopic data products produced by development versions of the pipeline; (2) working with ENSCI staff on python notebooks to provide tutorials for using
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experience in statistical analysis (e.g., R, Python, or Stata) Experience working with longitudinal data, infectious disease epidemiology, or complex datasets Demonstrated ability to advance projects and
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workplace proficiency in MATLAB, Mathematica, or Python, Office 365. Preferred Qualifications Masters in Physics, Mechanical, Aerospace, Chemical or Systems Engineering; Material Science; or a related
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Performs simulations and parameter estimation Contributes to coding (MATLAB, R, or Python) Assists with research reports and presentations Engages in a long-term research project leading to a thesis or
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data analysis (genomic and transcriptomic) (UNIX, LINUX, R, Python or similar). Experience with microscopy and/or histological techniques is an advantage. Excellent English skills (written and spoken