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advanced data analysis, simulations, and/or mathematical modeling. The work involves close interactions with other employees in CaIFF and the principal investigators to foster methodological innovation and
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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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aerosol modules, and assess the importance of different processes with a comparison to available observations. Analyse large model output and observational datasets to determine the impacts and main drivers
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engineered ecosystems. Research expertise spans enzyme engineering, biocatalysis, microbial engineering, microbiome research, food biotechnology, and process engineering, including pilot plant design and
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spatially explicit process-based ecological model (DEB-IBM) for muskoxen in the high-Arctic through the analyses of long-term GPS and acceleration data. using the model to estimate the (cumulative) impacts
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modeling. The position is available from 1 May 2026 or as soon as possible hereafter. Job description/research area The postdoc will contribute to a project enhancing cross-disciplinary collaboration by
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. Familiarity with advanced statistical and modelling tools (e.g., process-based models like LPJ-GUESS or ORCHIDEE and data assimilation frameworks such as CARDAMOM) is considered highly positive. Experience with
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applicants will be informed about the composition of the committee, and each applicant is given the opportunity to comment on the part of the assessment that concerns him/her self. Once the recruitment process
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informed about the composition of the committee, and each applicant is given the opportunity to comment on the part of the assessment that concerns him/her self. Once the recruitment process is completed a