1,084 computer-security "https:" "https:" "https:" "https:" "UCL" uni jobs at Nature Careers
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, pathology and clinical genomics. We offer one of the few comprehensive pediatric Solid Tumor fellowship programs in the country. As a clinical fellow in our Solid Tumor fellowship program, you will receive
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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Luxembourg Centre for Socio-Environmental Systems strives to grow into an internationally recognised research hub for a sustainable and equitable...
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biostatistics II for the MS in Applied Biomedical Data Sciences program. Engagement in educational research is a plus. Job Responsibilities: Teach graduate-level courses with an emphasis on active, student
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investments: oversee the overall budget for technological infrastructure (operation, maintenance and human resources), identify and secure external funding (antional and international grants, public-private
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Department of Epidemiology including collaboration in the ongoing St. Jude Lifetime Cohort Study and the Cancer Control and Survivorship Program with the St. Jude Comprehensive Cancer Center. The Department
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from complementary angles. We are seeking an investigator to lead a multidisciplinary research program focused on advancing our understanding of the developmental and tumor biology of malignant childhood
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Faculty Position - Immunology or Bone Marrow Transplantation & Cellular Therapy - Center of Excellen
Job Description SJCRH St. Jude Children's Research Hospita l has launched a significant expansion of its translational immuno-oncology and immunotherapy program with the establishment of the Center
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. Perks: Discounted gym memberships, bike-to-work scheme, and shopping discounts. Subsidised on-site restaurant and social spaces for team interactions. Career support: A Post-doc to PI programme and other
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Science at MBZUAI focuses on the rigorous statistical and probabilistic foundations of machine learning and data science. We emphasize computational methods for large-scale data and scalable inference
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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