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). Develop robust, reproducible and reusable Python code for model training, inference, and large‑scale computational experiments. Run and manage high‑throughput workloads on HPC or cloud infrastructure
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analysis and multi-omics data integration workflows using Python/R Integrate digital pathology data with omics data (e.g., MS-based proteomics, spatial proteomics) Develop and drive independent project ideas
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& Infrastructure as Code Develop and maintain automation using tools such as PowerShell (primary), Ansible, Terraform, and scripting languages (Python/Bash). Apply Infrastructure as Code (IaC) principles to enable
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to therapeutic discovery You bring PhD in computational biology, bioinformatics, computer science, or related field Strong coding skills (Python required; ML frameworks preferred) First-author publication(s
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, biomedical engineering, or a related field. • Experience with coding software such as Python, R, or Matlab. • Familiarity with collaborative coding software such as GitHub and database management
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of new methods Share your expertise in the form of tutorials, presentations, and by being a mentor to more junior members Grow your skills Our software development is essentially conducted in Python and
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high-performance computing (HPC), containerization, workflow orchestration (e.g. nextflow), and next-generation file formats (e.g. Zarr). Your work will primarily be conducted in Python. You will also
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physiology Competency in scientific programming (e.g. ImageJ, Python) for data analysis and image processing. About the Lab & Environment. The Krishnakumar lab is a highly collaborative group with access
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programming and instrument control using Matlab, Python, Labview etc Machine / deep learning expertise Strong analytical skills and ability to work in a multidisciplinary team Excellent communication and
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Java, Python, and JavaScript, as well as modern application frameworks such as Node.js and Spring. Experience with RESTful API design and integration, including familiarity with Model Context Protocol