246 assistant-professor-computer-"https:" "https:" "https:" "https:" "EURAXESS" positions at Stanford University
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Appointment Term: 1 year with renewal for second year contingent on performance and funding Appointment Start Date: April 2026 Group or Departmental Website: https://bilingtonlab.org (link is external) How
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option for extension Appointment Start Date: start date flexible / rolling Group or Departmental Website: http://cfna.stanford.edu (link is external) How to Submit Application Materials: Email: weigu
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. Optional: mentor junior trainees and contribute to grant writing activities. Training and Environment The postdoctoral fellow will work under the mentorship of Dr. Titilola Falasinnu, Assistant Professor in
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Date: As soon as possible Group or Departmental Website: https://naturalcapitalproject.stanford.edu/ (link is external) How to Submit Application Materials: Send an email with your attachments
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development, and coordination of internal support activities. They will work with OOD colleagues, donors, volunteer leaders, faculty and other university staff to assist in establishing and maintaining
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interest in translational science. The postdoctoral fellow will work closely with Dr. Vivek Charu and Dr. Brooke Howitt. Required Qualifications: PhD in Biostatistics, Bioinformatics, Computational Biology
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the scope and impact of our studies. Current research themes include: The impact of GLP-1 receptor agonists on metabolic outcomes and surgical decision-making in bariatric patients Computer vision analysis
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computer, use a telephone, and grasp lightly/fine manipulation. Occasionally twist/bend/stoop/squat, reach/work above shoulders, grasp forcefully, lift/carry/push/pull objects that weigh up to 20 pounds
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dissection such as removing a readily accessible organ, preparation before and assistance during surgery, administration of medication and post-surgery care. Histological procedures involving fixation
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research. The ideal fellow will be interested in developing and applying novel computational algorithms to novel datasets generated in the setting of non-neoplastic and neoplastic disease. Key