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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
. REQUIRED: Ph.D. in immunology, glycobiology, synthetic biology, or a related area; experience managing an independent research project to completion and publication; a track record of innovation; excellent
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dual-resonator (dual-rail) erasure-flag qubits in collaboration with D-Wave New Haven (formerly Quantum Circuits, Inc. of New Haven). We also lead PRACTIQAL, an NSF Quantum Leap Challenge Institute
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mechanical engineering or a closely related field and research experience in the fields that are related to the focus areas of the position. In addition, the candidate should have a proven track record of
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scientific publication history - track record as innovative and creative thinkers with outstanding verbal and written communication skills - high-spirited, ambitious team player with deadline-oriented project
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the sensors measured? In the ASPIRE project, we develop knowledge for the new generation of sports tracking technology that integrates athletes’ subjective experiences (such as perceived exertion, motivation
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training backgrounds Good track record of publications and scientific output Self-motivated, independent, with superior organizational and analytical skills Interested applicants are invited to send in
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researcher, you will play a central role in this ambitious programme and act as a technological integrator across multiple research tracks. You will work closely with three PhD candidates focusing on different
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, and HHU. Your Job Develop machine-learning–based workflows and scientific software for segmentation, species classification, and lineage tracking in multi-species time-lapse microscopy data Optimize
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technologies, H2 technology, and/or continuous-flow processing would be desirable for the position. The candidate should also have a strong publication track record and have demonstrated outstanding performance
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measured? In the ASPIRE project, we develop knowledge for the new generation of sports tracking technology that integrates athletes’ subjective experiences (such as perceived exertion, motivation, enjoyment