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, cybersecurity, computer networking, machine learning, AI, ERP and cloud computing Conduct research with colleagues. Strong data analytics skills, including the ability to work with large sets of structured and
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, and familiarity with cloud computing and/or high-performance computing (HPC) environments for bioinformatics workflows. The successful candidate must exhibit excellent communication skills; a
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to advanced AI, ML, xAI, and optimization for sustainable energy systems analysis and forecasting and being familiar with large language models, cloud platforms and distributed computing environments Experience
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, toxicology, or pharmacology Understanding of biological pathways and their relationship to disease mechanisms or drug response Experience with cloud computing environments and large-scale data processing
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, Scikit-image, OpenCV, Git, and Bash. Experience in developing and finetuning foundation models for biological applications. Experience working with HPC clusters (e.g. SLURM) or with cloud technologies
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, Scikit-image, OpenCV, Git, and Bash. Experience in developing and finetuning foundation models for biological applications. Experience working with HPC clusters (e.g. SLURM) or with cloud technologies
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(Python, JavaScript), deep neural networks and computer vision; Design and implementation of database systems; Design and implementation of application programming interfaces, server-based and cloud
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of equity, diversity and inclusion. Desirable characteristics: Experience in large data sets and their platforms/tools, cloud-based architectures, and deployment frameworks for machine learning algorithms
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science. Practical experience in Python programming and database management. Exposure to cloud computing environments and API integration. Development of skills in machine learning and data analysis
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faculty adviser, Postdoctoral Fellows will conduct specialized research in one or more areas of Atmospheric Science, including atmospheric chemistry; climate and atmosphere-ocean dynamics; cloud