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Job Description The Highlights: The Medical Informatics Lab at DePaul University’s School of Computing is seeking a Postdoctoral Researcher to join the NSF-funded SCHOLAR project, part of the Smart
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qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics’ datasets. Hands-on experience with large-scale human
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Geology, and M.S. and Ph.D. degrees in Earth and Atmospheric Sciences with an optional specialization in Meteorology-Climatology. The successful candidate will have opportunities to interface with multiple
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experience with larval or pathogen dispersal simulation and connectivity analyses strongly preferred. Knowledge of epidemiological modeling, and proficiency in multiple programming/analytical computer
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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% Computer research 15% Field Research 7% Writing 15% Requirements Required: - PhD in Plant Biology, Microbiology, Entomology, Plant Pathology, or a related field. - Experience working with plants as part of
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Cell Biology A working knowledge of computer software for data analysis and presentation. Experience with animal modes Preferred Qualifications: Background in perinatal biology Knowledge, Skills, and
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Type: Regular Work Shift: Sponsorship Available: No Institution Name: University of Arkansas for Medical Sciences The University of Arkansas for Medical Sciences (UAMS) has a unique combination of
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, Intelligent Manufacturing and Robotics, Communications Systems and Sensing, Nuclear Engineering, Advanced Materials, Membranes and Water Security, Smart Mobility and Logistics, Refining and Petrochemicals
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multidisciplinary research in broad program themes of Engineering Sciences for Computing and Data Science, Intelligent Systems and Materials, Advanced Electronics and Electrical Engineering, Sustainable and Smart