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Field
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for publication; and assisting in the training of graduate students and new lab members. Work Hours: 8 a.m. to 5 pm., occasional evenings and weekends Qualifications Minimum qualifications • PhD in biomedical
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to work on topics at the intersection of applied probability and analysis. The group around Pierre Nyquist currently consists of three PhD students and is focused on questions in probability theory and
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the advanced materials and manufacturing research theme. In addition, you will have the opportunity to work closely with a PhD student already recruited onto the project, as well as other project collaborators
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Kleitz at the University of Vienna mainly focusses on the development of nanoporous materials, their characterization, and their applications in numerous fields, such as catalysis, adsorption, bio- and
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, or similar disciplines Graduate students expecting to receive their PhD within six months can also apply Experience in the advanced analysis of genetic or proteomic data Interest in learning methods
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Qualifications, Competencies, and Experience PhD in Physics, Astronomy, or a related field completed before the start date of the position Demonstrated experience with photometric data analysis and time-series
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 days ago
Qualifications, Competencies, and Experience PhD in Physics, Astronomy, or a related field completed before the start date of the position Demonstrated experience with photometric data analysis and time-series
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for publication; and assisting in the training of graduate students and new lab members. Work Hours: 8 a.m. to 5 pm.,, occasional evenings and weekends Qualifications Minimum qualifications • PhD in biomedical
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expected that the successful candidate will contribute to the computational analysis of multi-omic data that will be generated during the project. The candidate must hold or be near completion to a PhD/DPhil
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to show leadership in scientific projects commensurate with career level. Skills 8. Quantitative skills for analysis of complex spatial survey data, such as via a GIS 9. Numerical skills appropriate