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, and/or substantial open-source research contributions Demonstrated experience implementing, training, evaluating, or fine-tuning modern machine learning models Strong programming skills in Python and
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modern machine learning models Strong programming skills in Python and experience building and maintaining research code Demonstrated ability to use modern AI-assisted and agentic coding tools effectively
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skills: Programming experience in Python and/or R and analyzing NGS/proteomics data is required. Full time, post-university research experience is strongly preferred, however exceptional candidates with
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other digital platforms (primarily text, but also including images, video, and metadata). ● Statistical processing experience (R, Python, or equivalent) is strongly preferred but not Additional
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science knowledge and prior knowledge of requested statistical packages. Perform statistical programming. Experience with NLP. Manage and manipulate data using requested packages, such as STATA, Python, R
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Python and experience with GPU cluster environments (e.g., SLURM) are a plus. Special Instructions Please provide a CV, a Research Statement, and two or more letters of recommendation. The target start
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, bioinstrumentation, or embedded systems Programming experience (e.g., MATLAB, Python, or similar for data acquisition/analysis) Familiarity with surgical techniques or willingness to be trained in rodent survival
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Server and Active Directory Virtualization (e.g., VMWare) Linux shell scripting Experience with statistical software (e.g., SAS, R, Python) on a research computing cluster is a plus Experience with Ansible
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the Python deep learning software stack, particularly expertise in PyTorch, Numpy, and related packages. Experience handling and processing large and diverse datasets, especially medical texts, journals
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NLP. Manage and manipulate data using requested packages, such as STATA, Python, R, or MATLAB. Ensure compliance with department, University, and federal regulations. Complete work with only general