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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
experimental stem cell biology, human and mouse model systems, and machine learning approaches for phenotyping, target discovery, and therapeutic evaluation. Will be hired by the MIT Jameel Clinic for Machine
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, machine learning, governance and operations, we aim to address the complex challenges and opportunities of space exploration CfAI is a large research group in the Department of Physics at Durham University
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to promoting women in Science, Engineering and Technology. Additional Actions : Robotics Nano Technology, Linus, Machine Learning, Large Language Models, AI Safety
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cardiovascular care. Within the consortium, TU Delft contributes expertise in cardiac mechanics, soft tissue modeling, growth and remodeling, machine learning, and uncertainty-aware model personalization. As a
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
experimental stem cell biology, human and mouse model systems, and machine learning approaches for phenotyping, target discovery, and therapeutic evaluation. Will be hired by the MIT Jameel Clinic for Machine
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experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and components to automate
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biosafety level 2 (BSL2+) lab), immunology (such as flow cytometry and CAR-T engineering), molecular biology (such as CRISPR, RNA biology), or animal models, (e) collaboration with other researchers both
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for immunological tolerance during autoimmunity and transplantation, directed at therapeutic intervention strategies. We are using autoimmune animal models to understand biological processes involved with autoimmune
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well as exploring the application of research findings to advanced 3D models such as organoids and 3D bioprinted tissues Learning about high-content, automated phenotypic drug screening pipelines against high
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the computational task: first-principles active-site descriptor models, high-throughput screening with machine-learned interatomic potentials, and a dedicated catalysis database. This position is ideal for a