1,364 machine-learning-"https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" positions at Nature Careers
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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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) Teaching statement describing your teaching philosophy, current contributions, and your plans for future contributions (up to 1 page) https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Novena-Campus-Singapore
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describing your teaching philosophy, current contributions, and your plans for future contributions (up to 1 page) https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Novena-Campus-Singapore/Associate-Assistant
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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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. Qualifications: Strong research productivity and demonstrated potentials; Ph.D. (Electrical Engineering, Computer Engineering, Computer Science, Statistics, Applied Math, or related field); A minimum relevant
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Chemical Biological Centre (https://www.umu.se/en/kbc ) at Umeå University and is affiliated with the national Centre of Excellence – Umeå Centre for Microbial Research (UCMR) (https://www.umu.se/en/ucmr
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, optimization, and continuous learning in a rapidly evolving field.Desirable: experience with multi‑omics datasets, single‑cell or spatial technologies, or basic scripting skills (R/Python). Our offer Access
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of medical science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding to the world
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the synaptic wiring diagram, or connectome, of whole brains, designing, building and using machine learning approaches to computer vision as applied to volume electron microscopy of whole brains. The ideal