41 assistant-professor-computer-"https:"-"https:"-"https:"-"https:"-"EURAXESS" positions at Stanford University
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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
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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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inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level
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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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, 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
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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