412 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Nature Careers in United States
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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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Einstein College of Medicine About Us The Department of Genetics at Albert Einstein College of Medicine (https://einsteinmed.edu/departments/genetics) was established in 1964 and has a storied history of
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(BBE). Learn more about BBE here: https:///www.youtube.com/watch?v=3fy54CWYWEk . The department also leads a newly awarded NIEHS Training Grant in Environmental Neuroscience, in collaboration with
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determined by rank and step at appointment. See [Table 5](https://www.ucop.edu/academic-personnel-programs/_files/2025-26/policy-covered-october-2025-scales/t5-summary.pdf ). The minimum base salary range
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on understanding metabolism, cancer, and aging. More information about the lab and their work can be found by visiting https://bidmc.theopenscholar.com/kajimuralab/ About the role: As the Laboratory
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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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of synaptic neural circuit function Molecular, genetic and viral tools For more information about our research, visit our lab website: https://www.med.upenn.edu/fuccillolab/
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of Health (NIH) and the Department of Health and Human Services (DHHS). Within this program, the Section on Synapse Development Plasticity (Chief: Zheng Li, PhD, https://www.nimh.nih.gov/research/research
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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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, or comparable research experience, along with significant experience in machine learning, computer programming, computational biological applications. A strong background in statistics and biology. Experience