50 machine-learning "https:" "https:" "https:" "https:" "https:" positions at Nature Careers in United States
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. Experience in high-throughput sequencing data analysis and cluster/cloud computing. Proficiency in variant calling, single-cell DNA and/or RNA analysis, and machine/deep learning (preferred but not required
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of California, Santa Cruz, invites applications for a UC Cooperative Extension (UCCE) Specialist at the Assistant rank. For full description, please follow https://recruit.ucanr.edu/JPF00368 This position will
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, machine learning model applications, and real-time applications Opportunities to learn more about systems neuroscience and neuroengineering One on one mentorship with graduate students and postdocs
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. Learn more about Sandia at: http://www.sandia.gov *These benefits vary by job classification. What Your Job Will Be Like: Sandia provides systems, science, and technology solutions to meet national
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Profile Responsibilities Design and implement analysis pipelines for high-throughput microscopy and sequencing data Develop novel image-analysis and machine-learning approaches for quantitative cell biology
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, or comparable research experience, along with significant experience in machine learning, computer programming, computational biological applications. A strong background in statistics and biology. Experience
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to investigate the uterine endometrium and maternal-fetal interface, with the goal of improving female and fetal health. More information about the lab and their work can be found by visiting https
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Institute at VTC (FBRI - https://fbri.vtc.vt.edu/ ) for a tenured or tenure-track faculty position at the associate or full professor level. The research institute supports entrepreneurial activity through
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. Describe a deep learning project you have executed. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a
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. Describe a deep learning project you have executed, ideally a creative use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for