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cloud computing environments Familiarity with genomic databases and resources such as UCSC Genome Browser, gnomAD, and NCBI. Solid foundation in applied biostatistics and statistical interpretation
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Faculty Position — Research Scientist in Cardiology, Cardiac Regeneration and Translational Cardiova
an exceptional research scientist to establish a cutting-edge program addressing fundamental challenges in cardiovascular disease through innovative approaches in regenerative medicine, cardio-oncology, or related
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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Job Description The rapidly expanding Hospitalist Medicine Program at St. Jude Children's Research Hospital is seeking a Pediatrician/Pediatric Hospitalist to join our team as a Staff Physician. Our
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! Education · PhD in computer science, engineering, applied mathematics, physics, or another STEM discipline. · Demonstrated experience with mathematical and numerical optimization methods
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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research group to study novel aspects of immunometabolism, tumor-immune cell interactions at the primary tumor and systemic sites in pancreatic cancer. Our state-of-the art research program utilizes
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The Center for Systems Biology Dresden (CSBD) is seeking applications for ELBE postdoctoral fellows The ELBE postdoctoral fellows program welcomes independent researchers on the postdoctoral level
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of the pathophysiology and treatment of neuropsychiatric, neurodevelopmental or substance use disorders. The position is based at McLean Hospital, a private psychiatric hospital with the largest research program of its
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Software Engineer - Image Quantification and Artificial Intelligence (IQAI), Department of Radiology
Job Description The Image Quantification and Artificial Intelligence (IQAI) Collaboratory is the technical engine of the Intelligent Imaging Informatics (I3) Section within the Department