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University of Southern California (USC) | Los Angeles, California | United States | about 20 hours ago
Details Posted: 15-Jun-24 Location: Los Angeles, California Salary: Open Categories: Staff/Administrative Internal Number: REQ20150374 School: Keck School of Medicine - Institute for Technology and
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Details Posted: 15-Jun-24 Type: Full-time Salary: Open Categories: Other Staff/Administrative Staff/Administrative Internal Number: R106036 The Department of Biomedical Informatics is seeking a post
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the development of fault-tolerant quantum computing hardware and quantum algorithms that solve important problems in the life-sciences. NQCP is looking for a motivated postdoc to develop our activities in quantum
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without regard to race, color, national origin, religion, sex, pregnancy, familial status, sexual orientation, gender identity or expression, age, disability, genetic information, veteran status and all
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To Perform The Following Tasks Carrying out research in the predefined areas Disseminating results through scientific publications in top software engineering and formal methods venues Communicate with
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are looking for a motivated candidate with a doctoral degree in biology, biotechnology or molecular biology. Previous practical experience of plant research and molecular biology is a requirement as is
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About us The Frost Lab investigates the role of mobile genetic sequences, known as transposable elements, in the biology of the placenta. We are based in the Medical and Molecular Genetics Dept
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SnT is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in Luxembourg by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and...
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from design optimization using EM simulations, engineering / construction of the RF coil and safety validation. This will also involve close collaboration with the Nottingham MRI group and users
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the following academic profile: A PhD in environmental sciences, agriculture, engineering or a related field. Working experience with large datasets, especially spatial and time series analyses. A proven history