53 postdoc-parallel-computing Postdoctoral positions at Nature Careers in United States
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photonics, nonlinear optics, and frequency metrology is highly desirable. Specific skills of interest include design of integrated photonics devices using commercial computational electromagnetic modeling
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photonic integrated circuits, optical metasurfaces, optomechanics, micro and nano electromechanical systems, and associated precision measurement, quantum information and future computing applications
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Postdoctoral Fellows to join a dynamic, fully funded research program investigating how environmental exposures and inflammation drive hematopoietic stem cell dysfunction, clonal hematopoiesis, and the
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processing equipment Modern methods in molecular biology for the engineering of proteins and microorganisms Skilled in computational methods for the prediction, characterization or modelling of biomolecules
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. At the heart of our program is the GLICO (Glioma-in-a-Cerebral-Organoid)platform, a system we pioneered where patient-derived glioma stem cells are grown within human cerebral organoids. This high-fidelity model
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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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The Omenn-Darling Bioengineering Institute at Princeton University invites applications for the Gilbert S. Omenn, MD. '61 and Martha A. Darling *70 Postdoctoral Fellowship Program. This opportunity
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-640; Gastroenterology 2021 Jul 8:S0016-5085(21)03159-0; Nature Reviews Cancer 2023 Mar 27:1-20, Nature Cell Biology, 2024 May;26(5):840). Our program is well-funded by NCI, with multiple R01 grants and
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to applicants who have received their Ph.D. degrees in neuroscience or related fields within the last 3 years and have experience in imaging in vivo. Skills in computational neuroscience and data mining using
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to independently design, execute, and troubleshoot experiments Strong computational skills for processing complex cryo-EM datasets Enthusiasm and demonstrated ability to rapidly learn new techniques Prior training