580 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers
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a professional development allowance, research allowance, a personal computer for use during the fellowship, tuition assistance, dependent care assistance, moving allowance, an employer-contributed
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and can be customized to meet participants' individual learning goals. Participants manage patients with a wide variety of infectious diseases on both an inpatient and an ambulatory basis. St. Jude
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, biobanks, electronic health records); A sound understanding of Statistical and Machine Learning concepts, particularly in relation to genomics; Prior experience working with multiple data sources and
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assessment of chemical plants using HAZOP analysis Use of process modeling and simulation to enhance quantitative assessments Use of machine learning to support HAZOP discussions with the aim of obtaining a
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, biochemical, cell, and tissue biology method skills. Experience in using computational analysis (biostatistics, machine learning, data science, physics, or a related field). We value diversity and strongly
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that promote and maintain malignancy, evaluating novel selective dependencies and resolving the mechanisms governing dependency, and application of machine learning, artificial intelligence, and other advanced
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.). - Experience building automated processing pipelines in cloud environments (AWS, GCP, Azure). - Proficiency with machine learning / deep learning frameworks (TensorFlow, PyTorch, scikit-learn) applied
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at the intersection of machine learning, robotics, functional safety, and relevant machinery directives. In addition, the DC will contribute to the dissemination of project outcomes through digital and social media
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analysis in cleared tissues Working knowledge of image analysis and automation is welcome Examples: Fiji ImageJ, Python for batch processing, napari, basic ML or deep learning toolchains Advantageous but not
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Networking (SDN), and advanced machine learning approaches to ensure compliance with ISO/SAE 21434 and UNECE WP.29. Respnsibilities: Develop lightweight AI/ML models for detecting cyber threats in TSN-based