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of harmonic analysis (broadly interpreted) are welcome to apply. The selected candidate is expected to join the research team and work collaboratively on problems within the framework of the above-mentioned
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or HCV among people who use substances. Collaborate with clinical and implementation teams to identify relevant cost and outcome measures for economic evaluations. Support Economic Data Harmonization
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encouraged to apply. The position will be funded by the ERC Consolidator Grant “HARMONICON: Connecting Harmonic Analysis and Conformal Field Theory". The appointment will be for 2+1 years, starting in Fall
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Okinawa Institute of Science and Technology, Analysis and Partial Differential Equations Unit Position ID: 3260-POSTDOC [#26877] Position Title: Position Type: Postdoctoral Position Location: Onna
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connectivity and graph-theoretic analyses Familiarity with MR sequence programming (Siemens or GE platforms) Machine learning / AI applied to neuroimaging data EEG acquisition and analysis Use of neuroanatomical
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129188, United Arab Emirates [map ] Subject Areas: analysis, PDE, analysis, kinetic theory, fluid dynamics, plasmas Appl Deadline: 2025/12/16 04:59 AM UnitedKingdomTime Position Description: Apply Position
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new pollen analysis • Modeling and Statistics: Utilize GIS, R statistical environment, and other tools for pollen-based modeling (REVEALS and LOVE models) and statistical analysis. • Collaboration: Work
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Ruelle's thermodynamic description of Smale spaces using tools from harmonic analysis, and to promote breakthroughs that may have far-reaching consequences in various scientific disciplines. Work duties The
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) utilizing integrative data analysis to harmonize phenotypic data across a number of large, genetically-informed longitudinal study samples with the goal of characterizing the longitudinal interplay between
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domain-specific foundation models that support tasks such as forecasting, interpolation/extrapolation, downscaling, and “what-if” scenario analysis relevant to climate-related health risks and adaptation