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Field
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To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in health data science, medical statistics or machine learning methods
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responsiveness of applications; Diagnosing the issue and resolving it on demand. Job Requirements: PhD Degree with 5 years working experience in computer science, computer engineering, electrical engineering
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The Computational Neuropsychology & Simulation (CNS ) Lab and Dr. Thomas D. Parsons, PhD invites applications for a postdoctoral fellow focused on research in social neuroscience, computer science
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, virtual screening, molecular docking, structure-activity relationship analysis, and machine learning. Candidates should embrace opportunities to tackle new problems and challenges as part of a dynamic team
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Conserved Binding Sites: A Case Study Using N-Myristoyltransferases as a Model System. J Med Chem. 2020). The lessons learned from the validation shall also be used to develop improved methods. About the LEAD
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of machine learning and adaptive control algorithms is highly desirable. Good communication skills and ability to work well in a team environment. We regret to inform that only shortlisted candidates will be
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emerging machine-learning-enabled model calibration techniques recently adopted in CLM-FATES at UiO. The aim is: to constrain snow-related parameters to constrain the dominant drivers of photosynthesis
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-occlusion, lung injury and sterile inflammation in Sickle Cell Disease. The prospective candidate will have the opportunity to learn state-of-the-art techniques such as Multi-Photon-Excitation intravital
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collaboratively with colleagues from multidisciplinary disciplines Excellent time management and planning skills, with a commitment to delivery Strong background in machine learning and/or deep learning, and signal
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets