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Field
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, ecology, microbiology, engineering, bioinformatics, data mining, parallel programming, supercomputing, or cloud computing. Application Instructions How To Apply Interested individuals should send
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. Familiarity with causal inference, real-world evidence, multimodal data integration, or cloud/high-performance computing is a plus. The Postdoctoral Researcher will collaborate closely with
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molecular simulations is a plus. Experience with cloud computing and/or high-performance computing (HPC) resources. Application Process: Interested candidates should submit the following documents as a
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project. Ideally educated to PhD level in an area related to Computer Science, the applicant will be proficient in software development, systems administration, networking and cloud. This is an
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at least the end of the Spring 2027 semester. Creativity, attention to detail, and a collaborative approach. Experience with graphic design and content creation tools, including Adobe Creative Cloud
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or R. Experience working in a cloud environment such as Microsoft Azure. Experience in writing grant proposals and scientific publications. Strong communication, interpersonal, and problem-solving
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data sources. Experience with reproducible research, version control, or high-performance/cloud computing. COMPENSATION AND BENEFITS The hiring range for this position is $61,500 to $64,000. An offer
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. Experience running work on high-performance or cloud computing resources. A record of contributing to open-source scientific software. Additional Information: Location: Dreese Laboratories (0279) Position
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functioning or ecological stability; experience with remote-sensing products and cloud/geospatial computing is an advantage; a publication record that is competitive for the candidate’s career stage
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imaging datasets. Strong technical knowledge across the data lifecycle, including research data architecture, data pipelines, database management, SQL, REDCap, cloud or high-performance computing