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. Acquisition in response to this advertisement is not appreciated. Website for additional job details https://www.academictransfer.com/362264/ Work Location(s) Number of offers available1Company/InstituteVrije
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-time physics: String theory and Quantum field theory, Astrophysical relativity; Mathematics: Differential geometry, Mathematical physics, Dynamical systems, Data assimilation, Monsoon dynamics, Analysis
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Biophysical and Biomedical Measurement Group, National Institute of Standards and Technology | Gaithersburg, Maryland | United States | about 2 months ago
describe your relevant technical background, including specific techniques, instruments, assays, software, and your role in developing or applying them. Group information: https://www.nist.gov/pml
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, our SW Simulators, and our facilities. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role The successful candidate is expected to assume a key role
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Qualifications Familiarity with designing experiments informed by commercial marketing and health communication theories. Familiarity with the study of cannabis and tobacco marketing influence and commercial
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to CSRankings. Further information about research at the Department is available here: https://di.ku.dk/english/research/ . SODAS is an interdisciplinary social data science center at the Faculty of Social
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. Appointment Start Date: October 1, 2026 Group or Departmental Website: https://esos.stanford.edu/(link is external) https://sustainability.stanford.edu/about-school/centers-programs-initiatives/su...(link is
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Additional Information Work Location(s) Number of offers available1Company/InstituteTélécom ParisCountryFranceGeofield Contact City PALAISEAU Website https://www.telecom-paris.fr/ Street 19 Place Marguerite
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expertise at the interface of biology and quantitative science. The project is particularly suitable for candidates interested in evolutionary theory, biological complexity, mathematical modeling, and the
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for research. Research experience in wireless communications, signal processing, information theory, or related areas. Preferred Qualifications: Research experience in machine learning for wireless