623 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" positions at Nature Careers in United States
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computational (deep-learning AI models) approaches to dissect cell-death signaling, with ultimate goals to identify novel therapeutic targets and approaches. The PI, Dr. Gong has been highly regarded in his
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, industry, and other academic partners. Department Leadership: • Shape and promote a vision, mission, and strategic plan for the department • Promote and support high-impact research initiatives • Support and
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the complexities of pediatric diseases. Position will be instrumental in building and mentoring a top-tier team to build the informatics infrastructure that transforms these biospecimens and clinical data
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and protocols related to legal operations to plan and execute processes within area. Maintains and monitors processes and plans; supports continuous improvement of the legal operations systems and
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signaling pathways (Wnt, Notch, Hippo) and their manipulation. Experience with drug screening, high-content imaging, or functional assays of sensory or neuronal activity. Computational or bioinformatics
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Implementation Design, plan, and execute mass spectrometry imaging (MSI) experiments and/or LC/MS-based lipidomics and metabolomics studies Prepare samples, set up instrumentation, and ensure adherence
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development, and career advancement. Established focus in bioinformatics or computational pathology is strongly encouraged. The ideal candidate will have multiple years of experience in molecular pathology case
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following bone marrow transplantation, and anti-leukemia therapies. They investigate cellular and molecular mechanisms via a combination of computational biology and functional in vitro and in vivo studies
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taken or plan to take to create a collaborative and effective training and mentorship environment in which all trainees and staff can thrive List of three (3) references The annual base salary range
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biologists, computational and medicinal chemists. Projects will focus on advancing cutting-edge drug discovery programs for childhood catastrophic diseases using the latest approaches in proximity-based