11 associate-professor-computer-"https:"-"https:" research jobs at Stanford University
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and transplantation and to translate this knowledge into improved treatments. Required Qualifications: Individuals with a recent MD or PhD degree with skills in computational biology, bioinformatics
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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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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
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preparation and dissemination of findings at national and international conferences. Collaborate with investigators across rheumatology, pain medicine, biostatistics, informatics, and behavioral science
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collaboratively. Preference will be given to candidates who are currently completing the last year of their PhD or graduated from their PhD program in the past year. Required Application Materials: One-page
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, candidates should possess a strong background in quantitative fields such as Mathematics, Physics, Engineering, or Computer Science. This is a collaborative, cross-functional team, and project assignments will
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e-mail) ), Administrative Associate of Dr. Alma-Martina Cepika. Does this position pay above the required minimum?: No. The expected base pay for this position is the Stanford University required
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alongside a team with expertise in flood modeling and collaborators in IIT Bombay. We encourage recent graduates with a PhD or equivalent degree from an epidemiology, biostatistics, data science, computer
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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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, a curriculum vita and letter of interest to Sneha Ramakrishna, Assistant Professor, Division of Hematology/Oncology, Department of Pediatrics, Stanford University School of Medicine. Email: ramakrs