581 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions at Nature Careers
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research, teaching & administration, which means: You are involved in research projects and scientific studies in the area of Operations Research and Machine Learning. We expect you to complete your
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trouble shooting. Support researchers training on best practices for data management and open science. Socialize research support services to scientists of diverse backgrounds. Perform outreach, teach
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Senior Bioinformatics Research Scientist - Northcott Lab in the Center of Excellence in Neuro-Oncolo
, epigenomics, single-cell, spatial 'omics, machine learning, and artificial intelligence. Experience in analyzing, interpreting, and visualizing human genomics datasets generated by high-throughput sequencing
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network, who spearheads advancements in AI/Machine Learning, Data Science, Environmental Intelligence, Innovations in Health Sciences, Policy Development and Sustainable Societies. THE POSITION Faculty
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of the following methodologies: optogenetics, calcium imaging, viral tracing, tissue clearing, murine behavioral phenotyping, machine-learning behavioral analysis Familiarity with programming languages
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researcher with a strong background in robotics, mechatronics, systems engineering, machine vision, AI/ML systems, or autonomous control to join our collaborative neuroengineering efforts. This person will
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-standing reputation for pioneering machine learning and AI methods in molecular biology, in particular on single-cell genomics. Your tasks Coordinate the international open-source developer scverse community
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and automation is welcome Examples: Fiji ImageJ, Python for batch processing, napari, basic ML or deep learning toolchains Advantageous but not required: FELASA B and experience coordinating animal
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computational analysis, deep learning, and calcium imaging–based approaches. We work primarily with the model system C. elegans and apply both computational and experimental methods to uncover fundamental
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protocols to characterize both cellular and vascular properties of the TME. The approach will be validated using a combination of in silico models, computer simulations, and in vitro experiments using tumor