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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=28417 PhD student (m/f/d) with a focus on epidemiology and tools for screening of Tuberculosis
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research and teaching center and ranks highly among U.S. News “Best Graduate Schools” (https://medicine.uiowa.edu/ui-carver-college-medicine-ranks-among-2023-best-graduate-schools-us-news ). Iowa City is one
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, molecular assemblies — are out-of-equilibrium systems whose dynamics emerge from the coupling between stochastic fluctuations, internal forces, collective interactions, and geometry. Their quantitative
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chemistry Development of density functionals Development of embedding methods for molecular solids Independent teaching of courses and participation in teaching and examination tasks of the institute
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in situ of the breast and identification of molecular components involved in this process”, led by Dr Paulina Nastały. PROJECT DESCRIPTION The project focuses on ductal carcinoma in situ (DCIS), whose
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activate spinal networks. This PhD project aims to investigate the underlying mechanisms of rSynES-induced recovery using a mouse model of cervical SCI, through longitudinal assessment of molecular and
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these analysis methods to highly informative multimodal microscopy data and develop techniques to integrate correlated structural and molecular analysis into the natural 3D tissue space. This integration will
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simulation codes such as Geant4 and/or multiscale modeling approaches will be considered an asset. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5822-FLOJAC-103/Default.aspx Requirements
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or more of DFT, molecular dynamics, multiscale/materials modelling, or machine learning for the sciences including, Bayesian methods, uncertainty quantification, scientific AI workflows, automated discovery
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large-scale omics datasets, develop and apply statistical methods and interpretable AI models, and contribute to the identification of biological markers and molecular mechanisms associated with disease