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Field
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 2 hours ago
and modelers to use the optical constants in the analysis of observational data from, e.g., Hubble, Spitzer, JWST. Candidates are expected to be proficient doing data reduction and analysis using Python
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modelling of nitrogen fluxes in agricultural systems, starting 01-07-2026 or as soon as possible thereafter. The position will be available for a period of 2 years. Food security, climate change and loss
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aging and malignant transformation, taking the lead in developing novel mathematical models and statistical tools, to quantify clonal dynamics in aging and malignant human tissues. As a member of an
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Requisition Id 15709 Overview: We are seeking a Postdoc who will focus on urban-scale energy modeling. This position resides in the Grid Interactive Control Group in the Energy Systems
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modelling. MISSION You will actively contribute to the development and evaluation of new hybrid computational method to predict biological tissue deformation with subject-specific material properties
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postdoctoral researcher to join the ERC Pandora project team. Your work will involve analyzing or designing models of surface processes to estimate their role in the formation of environmental refuge zones
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investigate whether neutrophils can be targeted to enhance immunotherapy efficacy. Current research on neutrophil function in cancer relies heavily on mouse models, which may not accurately reflect human
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At the Faculty of Engineering and Science, Department of Materials and Production, section of Physics and Mechanics, a position as Postdoc in rheology and modelling of gels and tissues is open for
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Mechanics and Turbulence” group and conduct research on data-driven techniques for turbulence modeling in LES and RANS. The initial contract will be for one year, with the possibility of an additional one
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
. Focus will largely be in developing and deploying such AI/ML algorithms, closely collaborating with theorists and experimentalists to realize physics- models and/or physics-aware ML-models that can bridge