945 developer-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions in United States
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Field
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is committed to academic excellence, professional development, and fostering an environment that supports innovation and student success. At the base of the Rocky Mountains, Colorado Springs is
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for the immunotherapeutic treatment of cancer. Additionally, they are developing new vaccine concepts to prevent infectious diseases and cancer. The Barber Laboratory also works in the field of viral oncolysis, specifically
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for a recent KU law school graduate to augment their legal education by conducting significant legal and interdisciplinary research and to further develop his/her legal research skillset in preparation
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variety of scientific principles and theories. 4. Maintains substantial knowledge of state-of-the-art principles and theories. 5. Develops advanced analytical models and systems and provides solutions and
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simulation methods, GPU-accelerated computations, several programming languages, and presenting results to wide technical and non-technical audiences. Additionally, the candidate will also develop theory and
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focus on developing play-based learning resources and interdisciplinary multimedia projects, with some aspects overlapping with formal STEM education and policy. In addition to project responsibilities
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program at the interface of drug delivery, biomaterials, and cancer biology. The successful candidate will play a key role in developing next-generation therapeutic platforms, including lipid nanoparticles
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basic and translational neuroscience and genetics research. Our laboratory focuses on understanding neural circuit development and function, inhibitory neurobiology, cerebellar neural circuits, and
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National Laboratory is hiring an Electronic Structure Theory Postdoc within the Chemical Sciences division. This position provides a unique opportunity for development and application of state-of-art
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candidate would be a PhD in geophysical sciences, computer science, or machine learning with experience in developing and verifying deep learning-based models for large dynamical systems (e.g. weather