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. in Climate Science, Atmospheric Science, Environmental Science, Computer Science, AI/Data Science, Remote Sensing, Urban Sustainability, or a related field. Experience with Linux-based high-performance
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Framework for Medical Device Surveillance https://reporter.nih.gov/project-details/11091149 · CardioOnco-AI: AI-Empowered Cardiotoxicity Risk Prediction Among Breast Cancer Survivors Using Multi-Site
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, exomes). Demonstrated experience as an expert level user of HPC infrastructure / Linux systems. Demonstrated experience implementing key R and / or Python packages. Track record of publications
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/ab initio workflows (Gaussian, ATK, CASTEP) and beyond - Mathematica, Python, Fortran implementations; UNIX/Linux environments • Collaborate with experimental groups and other theorists to design
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(s) Please note: Job applications must be submitted directly online only at: (https://jobs.uri.edu ) Contact Phone/Extension Contact Email Physical Demands Campus Location Kingston Grant Funded Yes
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programming in C (on microcontrollers and embedded Linux); ii. Machine learning on the Edge. Priority will be given to candidates enrolled in a Master Program related to Embedded Systems or related fields
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Computational Postdoctoral Fellow (Quantitative Modeling Group) - 106785 Division: BE-Biological Systems & Engineering Berkeley Lab’s (LBNL, https://www.lbl.gov/) Biological Systems and Engineering
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' bioinformatics experience in functional genomics, multi-omics, comparative genomics or statistical genomics. Demonstrate strong scripting skills using Python, R and Linux-based HPC or cloud environments for large
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IT skills, including familiarity with Linux/Unix environments and HPC systems experience in assisting with the supervision of students undertaking undergraduate or higher degree research projects good
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Experience using Linux or Unix, and high-performance computing systems Experience with Python, R, or another scientific programming languages Experience with AI/ML approaches Familiarity with tools like BLAST