1,576 computer-security "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Nature Careers
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the molecular to cellular scale. We are looking to appoint an individual who has strengths in both experimental and in advanced computational methods in Cryo-EM. The post-holder will work in collaboration with
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state-of-the-art computational and high-throughput experimental validation methods in functional, de novo protein design. Over the next two years, the team will jointly develop computational methods
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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inventory, and ensuring sanitation and safety standards. Job Responsibilities: Responsible for the campus-wide food service operations; Ensure customer satisfaction and lead execution of daily operations
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minimum of two years of postdoctoral experience is required. Successful candidates are expected to establish a vigorous research program and contribute to the department’s teaching mission. Applicants with
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• Opportunities to build a competitive academic portfolio Minimum Qualifications: • MD, DO, or equivalent medical degree (or currently enrolled in an accredited residency/fellowship program), or advanced
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Program and the CAP ISO 15189 Accreditation Program. In addition, the HLA lab is accredited by the American Society for Histocompatibility and Immunogenetics (ASHI) which supports the institution's bone
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July 1, 2026. Interested candidates may contact: Trachia Wilson, C-TAGME, CAP | Fellowship Program Coordinator Pediatric Infectious Diseases | St. Jude Children's Research Hospital Email: [email
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PhD in computer science, physics, mathematics, or a related discipline Strong expertise in image analysis and/or machine learning, with a deep understanding of how data characteristics impact downstream
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within databases. Develop web services to query the database. Develop and implement computational and systems biology approaches for network and hidden driver analysis for genomic transcriptomics