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Field
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of differing background aerosol composition and to relate these distributions to in-cloud turbulence and cloud brightening. The Doppler lidars at the pier and on Mt. Soledad characterized sub cloud TKE profiles
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stream chemistry data collected across a network of sites. The position will require downloading of data of field instruments and shared data repositories, and the development of code (R or Python based
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date). Strong background in power systems analysis (OPF, state estimation) and numerical optimization/control. Proficiency with Python/MATLAB and power-system toolchains (e.g., MATPOWER/OpenDSS
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/or experience with developing AI tools in healthcare. Possess strong programming skills in Python, PyTorch or otherwise. Have a good command of English (spoken and written). Have good communication
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expertise and an established track record in machine learning across different data domains of mental and/or neurological disorders. Experience in analysing high-dimensional data such as structural and/or
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expertise and an established track record in machine learning across different data domains of mental and/or neurological disorders. Experience in analysing high-dimensional data such as structural and/or
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of donor/recipient (D/R) epitope compatibility using two methods. HLA-Epicheck does not allow quantification of structural differences between two epitopes. The first option is to use the descriptors
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systems. https://g2elab.grenoble-inp.fr/ Activities Simulate different scenarios Integrate the model Evaluate the results obtained Present the state of the art to initiate the work Collaborate with
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disease, in particular cancer. You address this question using both different in vitro models, with the focus on embryonic stem cells and intestinal (cancer) organoids, and with tissue biopsies from
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repertoires of different viral groups groups, and the development of bioinformatic methods for genomic and evolutionary analyses. The research will address critical questions regarding the evolution and