331 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at University of California San Francisco
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. See Table 24B for the salary range for this position. A reasonable estimate for this position is $55,000-$58,600. Interested candidates can apply online at https://aprecruit.ucsf.edu/JPF05925 with a
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, quantitating mRNA and protein levels, CRISPR perturbations, artificial intelligence, machine learning, and cloning. Applicants who intend to participate in research before applying to graduate school
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University of California San Francisco | San Francisco, California | United States | about 1 month ago
, enhance graft survival, and reduce immune sensitization and risk of rejection. Create AI- and machine learning-based tools and methodologies to advance transplantation success, optimize patient outcomes
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-based analysis and research (including use of specialized software or programming tools as needed), and coordination of project workflows across multiple teams. The position also involves maintaining and
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level, conduct independent research under the guidance of Dr. Berendzen and other members of the Berendzen Lab. The Specialist will learn and utilize a variety of research techniques and will have the
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University of California San Francisco | San Francisco, California | United States | about 1 month ago
Qualifications: * Expertise in immunology assays (such as flow cytometry, stimulation assays, ELISA) * Experience with computer programming/bioinformatics Please apply online , with a CV and cover letter
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from proof-of-concept studies to IND enabling studies for a phase I clinical trial. This is an excellent opportunity to learn cutting-edge engineered T cell cancer therapy from leading experts in
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to help expand the clinical research program in genitourinary cancers. The faculty member will also teach in educational courses provided by the Department of Radiation Oncology for medical students
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We are seeking a Junior Specialist to join the DelRosso laboratory at UCSF. In this position, you will learn to use novel high-throughput microfluidic technologies for understanding gene expression
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proficiency is demonstrated, they will learn tissue culture techniques. This position will be directly trained by the PI on the project, Dr. Lane-Donovan. Required Qualifications: A bachelor's degree (or