1,089 engineering-computation "https:" "https:" "https:" "https:" "https:" "UCL" Fellowship research jobs in United States
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pipelines for data processing, integration, and analysis, incorporating sequence analysis, structural modeling, and AI-based predictive tools. Collaborate with computational biologists and software engineers
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, Mechanical Engineering, Computer Science, or a related field for biomechanics and assistive robotics is required by the time the position starts. Additional Qualifications Some background in coding, controls
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), Blood Cancer Journal (2022), Cell Stem Cell (2018). The Li research program is supported by multiple NIH (R01s), American Cancer Society, The Alex’s Lemonade Stand Foundation and several other prestigious
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Details Title Postdoctoral Fellowship in Differentially Private Learning and Replicability School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer
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for postdoctoral appointments who plan to work on AI existential safety research. FIL defines AI existential safety research as: a) research that analyzes the most probable ways in which AI technology could cause
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 10 days ago
stem cell (iPSC) maintenance and differentiation. The fellow will employ state-of-the-art cell engineering techniques to develop novel cellular models and hematopoietic differentiation methods
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Details Title Postdoctoral Research Fellowships in the Science and Theory of Generative Modeling School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer
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cannot be feasibly built across the wide range of environmental conditions present in U.S. croplands. To address this, computer simulations can evaluate the performance of different cropping systems across
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, infrastructure planning, and resource availability. By combining expertise in economics, technology, and policy analysis, CEE supports cross-cutting research efforts aimed at informing decision-making in energy
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with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience in relevant research