16 Computer Science "https:" "https:" "https:" "https:" "https:" "https:" "https:" Postdoctoral research jobs at University of Maryland, Baltimore
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, bioinformatics, computational biology, human genetics, computer science, or a closely related area is required. Experience: Demonstrated experience in strong optimization computational skills, proficiency
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, computational biology, human genetics, computer science, or a closely related area is required. Experience: Demonstrated experience in strong optimization computational skills, proficiency in one of the
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apply, please visit https://umb.taleo.net/careersection/umb_faculty+and+post+docs/jobdetail.ftl?job=260000VQ&lang=en Hiring range: $63,480 - $63,900 per year (depending on academic rank and
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, including names and contact information of three references to the following link https://umb.taleo.net/careersection/jobdetail.ftl?job=260000DJ&lang=en For any additional questions after submitting
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: https://umb.taleo.net/careersection/jobdetail.ftl?job=25000145&lang=en For additional questions after application, please email at [email protected]. UMB is an equal opportunity/affirmative
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, communication, and time-management skills. How to Apply: Interested applicants should apply online through the University of Maryland School of Medicine website at https://www.umaryland.edu/jobs/ and
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Post-Doctoral Research Position in Exercise Science, Kinesiology, Integrative Physiology, or a closely related discipline. - ( 260000RP ) A full time Post-Doctoral research position is
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candidate must also possess strong communication and organizational skills. Qualifications a..Qualifications A PhD in Computer Science or Electrical Engineering with biomedical data analysis emphasis
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, computer science, applied physics, applied mathematics, or a closely related field. At least one year of direct research experience in medical-image segmentation and three-dimensional anatomical-model
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engagement/health disparities, or (3) pain and symptom science and multiomics. The Department of Research & Scholarship provides an effective infrastructure that partners with faculty members in