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coastal and freshwater marshes focus on the effects of vegetation and groundwater flow in biogeochemical transport and transformation. Will be based at MIT and work in collaboration with biologists at both
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 14 days ago
science, mathematics, statistics, or a related field; at least two years of specialized experience with quantitative data analysis, research methods, and/or social sciences research (which may include coursework
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ultrafast optics. We have close collaborations with leading research groups at MIT and the Technion. Read more about our work at https://sites.google.com/view/ljwgroup . Key Responsibilities: Discover new
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. The successful candidate will be joining the international QTWIST program that includes new joint laboratories of Prof. Jarillo-Herrero (MIT) and research groups of Prof. Adrian Bachtold, Prof. Carmen Rubio Verdú
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master's degree in bioinformatics, statistics, computer science, mathematics, data science, epidemiology, public health or similar Excellent collaborative and communication skills Ability to work both
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for research collaborations. The research exchanges are opportunities to collaborate with many faculty mentors, which are located at institutions such as Tokyo Tech, MIT, RIKEN, Cambridge University, and CU
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with collaborators across institutions (OSU, University of Pittsburg, MIT, McGill University, University of Guelph, and University of British Columbia) but will be physically based full time at
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the fabrication and application teams, from School of EEE, NTU and Singapore-MIT Alliance for Research and Technology (SMART). Key Responsibilities: Carry out reliability study on the CMOS + GaN HEMT ICs fabricated
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include: MIT, Tsinghua University, EPFL, Jacobs, UCLH, NASA, CEA, EDF Energy, Rolls Royce, CCFE. The successful candidate must have or be close to obtaining a PhD in Physics or Nuclear Engineering
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include: MIT, Tsinghua University, EPFL, Jacobs, UCLH, NASA, CEA, EDF Energy, Rolls Royce, CCFE. The successful candidate must have or be close to obtaining a PhD in Physics or Nuclear Engineering