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interfaces for PK/PD model parameter estimation and simulation in popPK/PD, PBPK-PD, and/or QSP approach; model-informed precision dosing and sampling optimization in pharmacometrics approach. Requires
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addition to other cloud-based data for weather-friction estimates and crowdsourced vehicle data for estimating road conditions. Your specific activities will include (but are not limited to): Develop robust
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calculation of NMR parameters. - Experience in experimental NMR. - Basic knowledge of electrochemistry, magnetic and electronic properties, and solid-state chemistry. - Proficiency in the necessary computer
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on parameter estimation in one of two contexts: neutron star binary coalescence, either during the inspiral or post-merger phase, or the continuous gravitational waves emitted by isolated neutron stars. Within
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of transferred layers will be characterized by Raman. In a second step, the candidate will participate in the optimization of the device parameters (electrode material, geometry, dielectric...) Requirements: PhD
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of relevant parameters, and providing realistic error estimates for positioning. A concept for a user warning system will also be developed. The IOW (Leibniz Institute for Baltic Sea Research) contributes
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another in artificial social networks. Some experiments will employ a human-in-the-loop approach (Harrison et al., 2020) to optimize environment parameters dynamically. The postdoctoral associate will
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model APIs, cloud computing environments, and R for additional statistical analysis. For decision support prototype development and evaluation, web-based user interface design, human-computer interaction
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emphasis on biosourced sustainable colloidal systems such as cellulose and lignin suspensions, experimentally studied within FORGREENSOFT. The computer simulations performed will allow for effective
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phases) parameters of these heterogeneous materials. The primary objective is to utilize numerical simulations to determine the geometric parameters that yield desired optical properties. Specifically