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Field
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sequencing, bulk RNA-seq, and single-nucleus RNA/ATAC using R, python, command line interface and high-performance computing clusters Thorough documentation and communication of experiments and findings with
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Postdoctoral Researcher – AI-Augmented Decision Science Indiana University Bloomington Department of Psychological & Brain Sciences and Luddy School of Informatics, Computing, & Engineering Position Overview
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Requisition Id 16715 Overview: We are seeking a Postdoctoral Research Associate who will use multiscale modeling and simulation to develop probabilistic lifing frameworks for high-temperature alloys
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Flexible work hours Family friendly High staff retention rates Leadership development and wellness programs Data allowance and home office equipment reimbursements Relocation assistance (if eligible) Tuition
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
communication skills in English Preferred Qualifications, Competencies, and Experience Research experience in multimodal learning, large language models, or reinforcement learning. Familiarity with high-performance
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Commitment to high standards in research ethics, rigor, and reproducibility Physical Demands and Working Conditions Physical Activities Working Conditions Additional Information Work will be performed on-site
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Engineering. The Postdoctoral Research Fellow will lead the development and characterization of multiplexed electrochemical biosensors designed for the high-resolution detection of drugs, biomarkers, and
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research and development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high-performance computing for one or more of the following: (1
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to apply for a faculty or staff position, please review this tip sheet . CORE JOB SUMMARY The Post Doctoral Associate performs scientific research and studies under the supervision of managing staff
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opportunities for high-impact publications and grant development. Key Responsibilities Perform computational analysis of large-scale omics datasets, including proteomics, transcriptomics, and related modalities