194 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs at Harvard University
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Jia Liu is seeking a highly-motivated postdoctoral researcher with a strong background in agentic artificial intelligence and machine learning. The successful candidate will conduct independent, high
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studies on blood perfusion in these human organ chip models of HMB and analyze differences between them and healthy models. You will be expected to learn new skills, and troubleshoot any technical issues
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Support for families and caregivers Professional development opportunities including tuition assistance and reimbursement Commuter benefits, discounts and campus perks Learn more about these and additional
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. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern machine learning methods as well as in biological data analysis are needed for the position
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at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes of collective bargaining and matters affecting your
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Laboratory directed by Dr. Capellini and located in the Peabody Museum on Harvard University’s Cambridge, Massachusetts campus. The lab’s website is: http://projects.iq.harvard.edu/evolutionary_genetics/home
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commercialization. We encourage your professional growth and development through mentorship and tuition reimbursement to support continued learning, and more. We also support your physical, financial, and mental well
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https://www.physics.harvard.edu/ Harvard Physics Department 17 Oxford Street Cambridge, MA 02138 Contact Email jennifer_pollock@fas.harvard.edu Salary Range $67,600-$80,000 Pay offered to the selected
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and contact information for three people who have agreed to serve as your reference Contact Information 10 Shattuck St. Boston, MA 02115 Contact Email heather_viana@hms.harvard.edu Salary Range https
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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned