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Field
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applicants interested in developing a research program in the field of cancer biology are welcomed to apply. Expertise in the fields of molecular biology, cell biology, and genetics are expected. Experienced
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-environment interaction studies. Excellent communication skills and ability to work both independently and in a collaborative, multidisciplinary environment. Experience with high-performance computing and
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Scientific Machine Learning. The successful candidate will develop and deploy state-of-the-art SciML algorithms in high-performance computational physics codes. We accept applications from all candidates with
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), Arabic, Tagalog, Farsi, French, or/and Yoruba. Position Overview The combination of machine learning and advanced manufacturing offers the potential to model and predict the performance of high-performance
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supervision of residents, research associates, medical students, undergraduate, and high school students performing research in the lab. Manage research collaborations. Write and review research proposals
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of this research program—spanning basic mechanistic discoveries, application of high-throughput technologies, validation in cancer-relevant mouse models, and translation platforms—is to understand the fundamental
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wind tunnels such a temperature/pressure sensitive paints, infrared thermography, PLIF, FLDI etc. • Proficiency in Python • Experience running simulations with high performance computing (HPC) resources
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Characterization via SEM, EBSD, XRD, TEM, Computed Tomography and/or other techniques. • Experience in Additive Manufacturing Processes and Materials Testing. Preferred Qualifications Ability to perform experiments
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: 272540344 Position: Postdoctoral Research Associate Description: The High Meadows Environmental Institute (HMEI), (https://environment.princeton.edu/) invites applications for postdoctoral research associates
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detector 3. Thermo Scientific Vitrobot in a humidity-controlled room 4. Essential tools for cryo-TEM grid preparation and storage High-performance computing resources for cryo-EM data handling/processing