145 parallel-computing-numerical-methods positions at Massachusetts Institute of Technology
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
, ML, DL computer vision, and NLP methods applied to omics, imaging, and clinical datasets; programming skills with experience in ML/DL frameworks; data visualization and EDA expertise; multi-modal data
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, integrate with our simulator, and investigate the use of this interface. The 77 Lab is a collaborative research environment with numerous ongoing projects in robotics, rehabilitation robotics, agricultural
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-generation sequencing, ELISA, and related analytical methods; and apply computational skills in collaboration with cross-functional teams, including efforts in microfluidics and high-throughput scaling and
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Posting Description POSTDOCTORAL ASSOCIATE, Center for Biomedical Innovation, supports an ARPA-H program developing a platform for continuous manufacturing of extracellular vehicles (EVs). EVs
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to multi-task, prioritize, work with flexibility, and simultaneously manage numerous awards with varying degrees of complexity while meeting concurrent deadlines; ability to operate effectively in a fast
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Posting Description POSTDOCTORAL ASSOCIATE, BIOMECHATRONICS, Program in Media Arts and Sciences, to develop the requirements for a closed-loop neuroprosthesis and investigate the effect in persons
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management skills; ability to anticipate, plan, prioritize and meet deadlines; manage multiple tasks; manage numerous requests from various parties; and effectively manage a high volume of work; strong writing
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
give rise to cortical computations that underlie mammalian behavior. This position will contribute to one or more active research projects and may provide opportunities to develop an independent
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, including quantitative and computational methods, ethnography, and field- and lab-based research. Interdisciplinary exchange is central to our work, and our collaborations frequently extend to partners in
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date; demonstrated hands-on experience fabricating, characterizing, and optimizing perovskite photovoltaic films and devices; experience with thin-film processing methods such as spin coating and with