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is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu
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, to analyse it and to write a report of the analysis. The successful applicant will have (or be near to completion of) a PhD in a relevant field with expertise in quantitative and/or qualitative analysis
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data analysis. The expected start date is June 2026. The initial appointment will be up to three years. This position is benefits-eligible. The University of Chicago offers a wide range of benefits
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. The successful candidate will be joining the STM on 2D Quantum Materials Group led by Prof. Dr. Carmen Rubio-Verdú. MAIN RESPONSIBILITIES: Design and fabrication of devices Measurements in STM Data analysis
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. The successful candidate will be joining the STM on 2D Quantum Materials Group led by Prof. Dr. Carmen Rubio-Verdú. MAIN RESPONSIBILITIES: Design and fabrication of devices Measurements in STM Data analysis
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relevant, program development tasks within a small university setting. The ideal candidate Holds a PhD in Sustainability Science, Engineering, Environmental/Climate Sciences, Biology, Data Science, or a
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research projects aimed at improving reach and effectiveness of behavioral health services for young people are encouraged to apply. The fellow will actively participate in implementation, data analysis, and
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FieldEngineering » Communication engineeringEducation LevelPhD or equivalent Skills/Qualifications PhD in Computer Science, Information and Communication Systems Engineering, Telecommunications, or a closely related
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an emphasis on technology, data science and the humanities. For more details, please view https://www.ntu.edu.sg/medicine . We are looking for a Research Fellow to conduct AI for medicine research. The role
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methods, including spectroscopic studies of the polymer composition and morphology of microplastics. Statistical analysis and risk assessment methodologies will be applied to the obtained quantitative data