272 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Nature Careers in United States
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electronic information industry, this division focuses on typical application scenarios in the era of big data, such as high-density information sensing, communication, computation, and storage. In response
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, developmental therapeutics, cancer biology and genomics, infectious diseases, neurobiology, non-malignant hematology, cell therapy & immunology, late effects of cancer therapy, computational biology
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Program or another American National Standards Institute (ANSI) accredited Food Handler Training Certificate Program is required within thirty (30) days of hire. Employee must maintain current certification
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to applicants who have received their Ph.D. degrees in neuroscience or related fields within the last 3 years and have experience in imaging in vivo. Skills in computational neuroscience and data mining using
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setting up eclectic technology-focused research laboratories, coordinating renovations, capital purchases, equipment moves and installations, including advanced computational resources, and assisting with
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leadership: Develop, revise, finalize, and monitor budgets for the CCSG, its supplements, and projects funded through the SJCCC's pilot project program. Collaborative Problem-Solving: Partner with Grants and
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translational research models—SHIELD supports research on therapeutic strategies, novel antimicrobial materials, and experimental models that bridge laboratory discoveries to clinical applications. The program
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to independently design, execute, and troubleshoot experiments Strong computational skills for processing complex cryo-EM datasets Enthusiasm and demonstrated ability to rapidly learn new techniques Prior training
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(BARISTA) Must obtain Barista Certification after completing Initial Store Training within six weeks of employment. (SERVSAFE) ServSafe Food Handler Training Certificate Program or another ANSI-accredited
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for developing and implementing new informatics tools and resources to enhance phenotyping performance or enable deep phenotyping through terminology/ontology, natural language processing, and machine learning