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-seq, ATAC-seq, ChIP-seq, spatial transcriptomics and single-cell data. Familiarity with data integration frameworks, predictive modeling, and network analysis. Experience with cloud computing
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refereed journals* Experience with computational protein design (desirable) Experience working with cloud/HPC environments, workflow orchestration or reproducible computational pipelines (desirable) Minimum
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well as groundwater geophysicists, hydrologists and economists. Participation with the SAWS unit will grant access to USDA physical and computational resources, including geophysical instrumentation, soil and plant
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, vascular biology, or cardiometabolic disease Track record of peer-reviewed publications relative to career stage Experience with multi-omic data integration Familiarity with HPC or cloud computing
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) data analysis, workflow automation, and cloud computing. This role will support research and production environments where reproducibility, scalability, and performance are critical. The successful
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combines stem cell biology, spatial genomics, AI/ML, single-cell technologies and computational biology to study how mutant cell populations interact with their surrounding tissue environment during
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), spatial statistics, or cloud computing Experience working in collaborative research teams Valid driver’s license and be able to successfully pass a driver’s record check Physical Requirements & Working
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in Python and/or R Experience with cloud computing and high-performance computing environments Ideal Candidate Profile We are seeking a computational biologist, biostatistician or bioinformatician with
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logging into their existing Workday employee account. Position Summary: Florida Atlantic University seeks a highly computational Postdoctoral Fellow to design and implement real-time, photorealistic digital
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with cloud computing Willingness to learn new languages and tools as the field grows SUPERVISORY RESPONSIBILITIES: This position will involve co-mentoring of students joining the group as described above