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IP-2025-02-8486 “Neural Combinatorial Optimization for Software Defect Prediction”- one full-time fixed-term position (for a limited period until November, 2027). Working conditions and other details
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education institution will be considered an asset, ability to teach, or to quickly prepare to teach, courses related to discrete mathematics, combinatorial optimization, fundamentals of programming
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include working closely with researchers at MIT and collaborators at other institutions to execute testing and remediation approaches. This will include hardware development and optimization, assay
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University Seattle campus. Course topics include High-performance Computing, VLSI Design, Advanced Machine, Learning Combinatorial Optimization and Statistical Inference. Responsibilities include preparation
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cytometry. You have experience with phage display technology or similar combinatorial library technologies. You have an extensive track record of independent work. You have experience in the pharmaceutical
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Posting Description RESEARCH SCIENTIST 3, The Zhang Lab - Broad Institute of MIT and Harvard, with expertise in proteomics and peptidomes. This individual will develop and optimize quantitative and
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for energy-efficient thermal systems. The position focuses on the development, optimization, and characterization of engineered surfaces and surface treatment processes to enhance heat-transfer performance
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manufacturing processes, and troubleshooting technical challenges in an advanced R&D pilot-line environment. Specifically: Develop and optimize die assembly and interconnection processes for electronic and
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for improvement; develops and implements solutions to optimize performance and reduce costs in the most economical and effective manner. • Applies industrial engineering practices including process mapping, time
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Research Associate to support research activities in additive manufacturing, computational design, biomaterials, and biomedical engineering. The role will focus on the design, fabrication, optimization, and